MX2019014689A - Clasificacion de sitio de escision y empalme basado en aprendizaje profundo. - Google Patents

Clasificacion de sitio de escision y empalme basado en aprendizaje profundo.

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Publication number
MX2019014689A
MX2019014689A MX2019014689A MX2019014689A MX2019014689A MX 2019014689 A MX2019014689 A MX 2019014689A MX 2019014689 A MX2019014689 A MX 2019014689A MX 2019014689 A MX2019014689 A MX 2019014689A MX 2019014689 A MX2019014689 A MX 2019014689A
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Mexico
Prior art keywords
residual blocks
convolution
based classifier
neural network
convolutional neural
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MX2019014689A
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English (en)
Inventor
Kai-How FARH
Kishore Jaganathan
Panagiotopoulou Sofia Kyriazopoulou
Jeremy Francis Mcrae
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Illumina Inc
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Application filed by Illumina Inc filed Critical Illumina Inc
Publication of MX2019014689A publication Critical patent/MX2019014689A/es

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/30—Unsupervised data analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B15/00—ICT specially adapted for analysing two-dimensional or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • G16B30/10—Sequence alignment; Homology search
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20—Supervised data analysis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Data Mining & Analysis (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Biotechnology (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Bioethics (AREA)
  • Databases & Information Systems (AREA)
  • Chemical & Material Sciences (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Analytical Chemistry (AREA)
  • Epidemiology (AREA)
  • Public Health (AREA)
  • Genetics & Genomics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Image Analysis (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Error Detection And Correction (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

La tecnología divulgada se refiere a la construcción de un clasificador convolucional basado en redes neuronales para la clasificación de variantes. En particular, se relaciona con el entrenamiento de un clasificador basado en redes neuronales convolucionales sobre datos de entrenamiento usando una técnica de actualización de gradiente basada en propagación inversa que empareja progresivamente las salidas del clasificador basado en la red convolucional con etiquetas correspondientes de la realidad del terreno. El clasificador basado en redes neuronales convolucionales comprende grupos de bloques residuales, cada grupo de bloques residuales se parametrizan mediante varios filtros de convolución en los bloques residuales, un tamaño de ventana de convolución de los bloques residuales y una tasa de convolución atroz de los bloques residuales, el tamaño de la ventana de convolución varía entre los grupos de bloques residuales, la tasa de convolución atroz varía entre grupos de bloques residuales. Los datos de entrenamiento incluyen ejemplos de entrenamiento benignos y ejemplos de entrenamiento patogénico de pares de secuencias traducidas generadas a partir de variantes benignas y variantes patogénicas.
MX2019014689A 2017-10-16 2018-10-15 Clasificacion de sitio de escision y empalme basado en aprendizaje profundo. MX2019014689A (es)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201762573135P 2017-10-16 2017-10-16
US201762573125P 2017-10-16 2017-10-16
US201762573131P 2017-10-16 2017-10-16
US201862726158P 2018-08-31 2018-08-31
PCT/US2018/055915 WO2019079198A1 (en) 2017-10-16 2018-10-15 CLASSIFICATION OF A CONNECTION SITE BASED ON DEEP LEARNING

Publications (1)

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MX2019014689A true MX2019014689A (es) 2020-10-19

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MX2019014689A MX2019014689A (es) 2017-10-16 2018-10-15 Clasificacion de sitio de escision y empalme basado en aprendizaje profundo.
MX2022014869A MX2022014869A (es) 2017-10-16 2019-12-05 Clasificacion de sitio de escision y empalme basado en aprendizaje profundo.

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US (6) US11488009B2 (es)
EP (4) EP3628099B1 (es)
JP (7) JP6896111B2 (es)
KR (6) KR102526103B1 (es)
CN (3) CN110914910A (es)
AU (5) AU2018350907B9 (es)
BR (1) BR112019027609A2 (es)
CA (1) CA3066534A1 (es)
IL (5) IL283203B2 (es)
MX (2) MX2019014689A (es)
MY (1) MY195477A (es)
NZ (3) NZ759879A (es)
SG (3) SG11201912781TA (es)
WO (3) WO2019079198A1 (es)

Families Citing this family (114)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018165762A1 (en) * 2017-03-17 2018-09-20 Deep Genomics Incorporated Systems and methods for determining effects of genetic variation on splice site selection
SG11201912781TA (en) * 2017-10-16 2020-01-30 Illumina Inc Aberrant splicing detection using convolutional neural networks (cnns)
US11461628B2 (en) * 2017-11-03 2022-10-04 Samsung Electronics Co., Ltd. Method for optimizing neural networks
US10609119B2 (en) * 2017-11-03 2020-03-31 Salesforce.Com, Inc. Simultaneous optimization of multiple TCP parameters to improve download outcomes for network-based mobile applications
CN107798382B (zh) * 2017-11-21 2020-09-01 南京地平线机器人技术有限公司 用于适配卷积神经网络中的特征数据的方法和装置
CN107909148B (zh) 2017-12-12 2020-10-20 南京地平线机器人技术有限公司 用于执行卷积神经网络中的卷积运算的装置
US10628920B2 (en) * 2018-03-12 2020-04-21 Ford Global Technologies, Llc Generating a super-resolution depth-map
US11604943B2 (en) * 2018-05-16 2023-03-14 Nec Corporation Domain adaptation for structured output via disentangled representations
TWI767122B (zh) * 2018-05-25 2022-06-11 宏達國際電子股份有限公司 模型建構方法、系統及非揮發性電腦可讀取記錄媒體
US11482305B2 (en) 2018-08-18 2022-10-25 Synkrino Biotherapeutics, Inc. Artificial intelligence analysis of RNA transcriptome for drug discovery
US11429824B2 (en) * 2018-09-11 2022-08-30 Intel Corporation Method and system of deep supervision object detection for reducing resource usage
US12039450B2 (en) * 2018-11-12 2024-07-16 Advanced Micro Devices, Inc. Adaptive batch reuse on deep memories
AU2019379868B2 (en) * 2018-11-15 2022-04-14 The Sydney Children’S Hospitals Network (Randwick And Westmead) Methods of identifying genetic variants
US11562046B2 (en) * 2018-11-26 2023-01-24 Samsung Electronics Co., Ltd. Neural network processor using dyadic weight matrix and operation method thereof
US12045725B1 (en) * 2018-12-05 2024-07-23 Perceive Corporation Batch normalization for replicated layers of neural network
US11847567B1 (en) 2018-12-05 2023-12-19 Perceive Corporation Loss-aware replication of neural network layers
US11605455B2 (en) * 2018-12-22 2023-03-14 GE Precision Healthcare LLC Systems and methods for predicting outcomes using raw data
US11461653B2 (en) * 2019-01-23 2022-10-04 StradVision, Inc. Learning method and learning device for CNN using 1xK or Kx1 convolution to be used for hardware optimization, and testing method and testing device using the same
US20200242736A1 (en) * 2019-01-29 2020-07-30 Nvidia Corporation Method for few-shot unsupervised image-to-image translation
US20200265270A1 (en) * 2019-02-20 2020-08-20 Caseware International Inc. Mutual neighbors
NL2023316B1 (en) * 2019-03-21 2020-09-28 Illumina Inc Artificial intelligence-based sequencing
NL2023314B1 (en) * 2019-03-21 2020-09-28 Illumina Inc Artificial intelligence-based quality scoring
NL2023311B9 (en) * 2019-03-21 2021-03-12 Illumina Inc Artificial intelligence-based generation of sequencing metadata
US11783917B2 (en) 2019-03-21 2023-10-10 Illumina, Inc. Artificial intelligence-based base calling
NL2023312B1 (en) * 2019-03-21 2020-09-28 Illumina Inc Artificial intelligence-based base calling
US11210554B2 (en) 2019-03-21 2021-12-28 Illumina, Inc. Artificial intelligence-based generation of sequencing metadata
WO2020191389A1 (en) * 2019-03-21 2020-09-24 Illumina, Inc. Training data generation for artificial intelligence-based sequencing
KR20200125212A (ko) * 2019-04-26 2020-11-04 에스케이하이닉스 주식회사 신경망 가속 장치 및 그것의 동작 방법
US11593649B2 (en) 2019-05-16 2023-02-28 Illumina, Inc. Base calling using convolutions
US11423306B2 (en) 2019-05-16 2022-08-23 Illumina, Inc. Systems and devices for characterization and performance analysis of pixel-based sequencing
JP7326867B2 (ja) * 2019-05-21 2023-08-16 富士通株式会社 情報処理装置、情報処理プログラム及び情報処理方法
US11151412B2 (en) * 2019-07-01 2021-10-19 Everseen Limited Systems and methods for determining actions performed by objects within images
US11862146B2 (en) * 2019-07-05 2024-01-02 Asapp, Inc. Multistream acoustic models with dilations
US11537816B2 (en) * 2019-07-16 2022-12-27 Ancestry.Com Operations Inc. Extraction of genealogy data from obituaries
CN110243828B (zh) * 2019-07-18 2021-07-30 华中科技大学 基于卷积神经网络的生物组织三维成像方法
CN110473520A (zh) * 2019-07-19 2019-11-19 上海麦图信息科技有限公司 一种基于深度学习的空中管制中英文语音判别方法
CN110647990A (zh) * 2019-09-18 2020-01-03 无锡信捷电气股份有限公司 基于灰色关联分析的深度卷积神经网络模型的裁剪方法
CN110751944B (zh) * 2019-09-19 2024-09-24 平安科技（深圳）有限公司 构建语音识别模型的方法、装置、设备和存储介质
CN114402393A (zh) 2019-09-20 2022-04-26 因美纳有限公司 基于人工智能的表观遗传
US12120384B2 (en) * 2019-09-27 2024-10-15 Mcafee, Llc Methods and apparatus to improve deepfake detection with explainability
CN110675391B (zh) * 2019-09-27 2022-11-18 联想(北京)有限公司 图像处理方法、装置、计算设备以及介质
US11816565B2 (en) 2019-10-16 2023-11-14 Apple Inc. Semantic coherence analysis of deep neural networks
US12088473B2 (en) 2019-10-23 2024-09-10 Aryaka Networks, Inc. Method, device and system for enhancing predictive classification of anomalous events in a cloud-based application acceleration as a service environment
US11481604B2 (en) * 2019-10-24 2022-10-25 Alibaba Group Holding Limited Apparatus and method for neural network processing
CN110852117B (zh) * 2019-11-08 2023-02-24 沈阳雅译网络技术有限公司 一种提升神经机器翻译效果的有效数据增强方法
US11948067B1 (en) 2019-11-11 2024-04-02 Perceive Corporation Storing of intermediate computed values for subsequent use in a machine trained network
CN110909865B (zh) * 2019-11-18 2022-08-30 福州大学 边缘计算中基于分层张量分解的联邦学习方法
CN111093123B (zh) * 2019-12-09 2020-12-18 华中科技大学 一种基于复合神经网络的灵活光网络时域均衡方法及系统
US11714831B2 (en) * 2019-12-16 2023-08-01 Nb Ventures, Inc. Data processing and classification
CN111026087B (zh) * 2019-12-20 2021-02-09 中国船舶重工集团公司第七一九研究所 基于数据的含权重非线性工业系统故障检测方法及装置
US11252417B2 (en) * 2020-01-05 2022-02-15 Size Limited Image data processing
US20210232857A1 (en) * 2020-01-28 2021-07-29 Samsung Electronics Co., Ltd. Electronic device and controlling method of electronic device
KR102426605B1 (ko) 2020-02-18 2022-07-27 성재모 인공신경망 모델을 이용한 데이터 분석 방법 및 장치
EP4107735A2 (en) 2020-02-20 2022-12-28 Illumina, Inc. Artificial intelligence-based many-to-many base calling
KR102428033B1 (ko) * 2020-02-28 2022-08-02 오픈엣지테크놀로지 주식회사 트랜스포즈드 콘볼루션 하드웨어 가속장치
CN111368834B (zh) * 2020-03-13 2023-06-16 五邑大学 食品包装生产日期识别方法、装置及存储介质
CN111402951B (zh) * 2020-03-17 2022-07-12 至本医疗科技（上海）有限公司 拷贝数变异预测方法、装置、计算机设备和存储介质
CN111401292B (zh) * 2020-03-25 2023-05-26 成都东方天呈智能科技有限公司 一种融合红外图像训练的人脸识别网络构建方法
KR20210121657A (ko) * 2020-03-31 2021-10-08 현대자동차주식회사 차량용 노면입력 하중 측정 시스템 및 방법
US20210312258A1 (en) * 2020-04-01 2021-10-07 Sony Corporation Computing temporal convolution networks in real time
CN111627145B (zh) * 2020-05-19 2022-06-21 武汉卓目科技有限公司 一种图像精细镂空图文的识别方法及装置
US11645733B2 (en) 2020-06-16 2023-05-09 Bank Of America Corporation System and method for providing artificial intelligence architectures to people with disabilities
CN111798921B (zh) * 2020-06-22 2022-08-05 武汉大学 一种基于多尺度注意力卷积神经网络的rna结合蛋白预测方法及装置
US11074412B1 (en) * 2020-07-25 2021-07-27 Sas Institute Inc. Machine learning classification system
CN111931058B (zh) * 2020-08-19 2024-01-05 中国科学院深圳先进技术研究院 一种基于自适应网络深度的序列推荐方法和系统
CN112183718B (zh) * 2020-08-31 2023-10-10 华为技术有限公司 一种用于计算设备的深度学习训练方法和装置
US12008469B1 (en) * 2020-09-01 2024-06-11 Amazon Technologies, Inc. Acceleration of neural networks with stacks of convolutional layers
CN112052813B (zh) * 2020-09-15 2023-12-19 中国人民解放军军事科学院军事医学研究院 染色体间易位识别方法、装置、电子设备及可读存储介质
CN112183494A (zh) * 2020-11-05 2021-01-05 新华三大数据技术有限公司 基于神经网络的文字识别方法、装置及存储介质
US12014281B2 (en) 2020-11-19 2024-06-18 Merative Us L.P. Automatic processing of electronic files to identify genetic variants
US20220180219A1 (en) * 2020-12-04 2022-06-09 Biosense Webster (Israel) Ltd. Automatic acquisition of electrophysical data points using automated setting of signal rejection criteria based on big data analysis
CN112735524A (zh) * 2020-12-28 2021-04-30 天津大学合肥创新发展研究院 一种基于神经网络的真实纳米孔测序信号滤波方法及装置
CN112699662B (zh) * 2020-12-31 2022-08-16 太原理工大学 一种基于文本结构算法的虚假信息早期检测方法
WO2022159635A1 (en) * 2021-01-20 2022-07-28 The Texas A&M University System Systems and methods for evaluation of structure and property of polynucleotides
US11132598B1 (en) 2021-02-23 2021-09-28 Neuraville, Llc System and method for humanoid robot control and cognitive self-improvement without programming
CN113035280B (zh) * 2021-03-02 2022-03-11 四川大学 一种基于深度学习的rbp结合位点预测算法
EP4302477A1 (en) * 2021-03-05 2024-01-10 Aeyedx, Inc. System and method to obtain intraocular pressure measurements and other ocular parameters
CN112863598A (zh) * 2021-03-11 2021-05-28 同济大学 一种基于深度学习的dna序列基元挖掘方法和系统
WO2022203705A1 (en) * 2021-03-26 2022-09-29 Genome International Corporation A precision medicine portal for human diseases
WO2022218509A1 (en) 2021-04-13 2022-10-20 NEC Laboratories Europe GmbH A method for predicting an effect of a gene variant on an organism by means of a data processing system and a corresponding data processing system
US20220336054A1 (en) 2021-04-15 2022-10-20 Illumina, Inc. Deep Convolutional Neural Networks to Predict Variant Pathogenicity using Three-Dimensional (3D) Protein Structures
US11514927B2 (en) * 2021-04-16 2022-11-29 Ubtech North America Research And Development Center Corp System and method for multichannel speech detection
KR102525187B1 (ko) 2021-05-12 2023-04-24 네이버클라우드 주식회사 시계열 기반 이상 탐지 방법 및 시스템
CN113239808A (zh) * 2021-05-14 2021-08-10 广州广电运通金融电子股份有限公司 一种基于深度学习的指纹纹理提取方法、系统、装置及存储介质
CN113537279B (zh) * 2021-05-18 2024-07-02 齐鲁工业大学 基于类残差卷积和lstm的covid-19识别系统
CN113192633B (zh) * 2021-05-24 2022-05-31 山西大学 基于注意力机制的胃癌细粒度分类方法
CN113724783B (zh) * 2021-06-16 2022-04-12 北京阅微基因技术股份有限公司 一种短串联重复序列重复数的检测和分型方法
WO2022272251A2 (en) * 2021-06-21 2022-12-29 The Trustees Of Princeton University Systems and methods for analyzing genetic data for assessment of gene regulatory activity
CN113469365B (zh) * 2021-06-30 2024-03-19 上海寒武纪信息科技有限公司 基于神经网络模型的推理和编译方法及其相关产品
CN113807164A (zh) * 2021-07-29 2021-12-17 四川天翼网络服务有限公司 一种基于余弦损失函数的人脸识别方法
CN113539362B (zh) * 2021-08-11 2022-10-21 哈尔滨因极科技有限公司 一种突变候选基因的筛选方法
CN113611410B (zh) * 2021-09-08 2023-03-24 温州医科大学附属第一医院 一种脂肪性肝炎风险诊断设备、系统及其残差网络的训练方法
CN113838524B (zh) * 2021-09-27 2024-04-26 电子科技大学长三角研究院(衢州) S-亚硝基化位点预测方法、模型训练方法及存储介质
CN114155910B (zh) * 2021-11-12 2022-07-29 哈尔滨工业大学 一种癌症体细胞突变功能影响预测方法
TWI814216B (zh) * 2022-01-19 2023-09-01 中國信託商業銀行股份有限公司 基於三重自學習的翻譯模型建立方法及裝置
US11513927B1 (en) * 2022-01-25 2022-11-29 Dell Products L.P. Method and system for performing testing operations for information handling systems
CN114566215B (zh) * 2022-02-25 2024-03-22 桂林电子科技大学 一种双端成对的剪接位点预测方法
US20230410941A1 (en) * 2022-03-24 2023-12-21 Genome International Corporation Identifying genome features in health and disease
CN115530808A (zh) * 2022-03-30 2022-12-30 山东衡昊信息技术有限公司 一种人体防摔的超前预警方法
CN114861776B (zh) * 2022-04-21 2024-04-09 武汉大学 一种基于人工免疫技术的动态自适应网络异常检测方法
CN114882953A (zh) * 2022-05-24 2022-08-09 南京邮电大学 一种基于序列特征的植物长链非编码rna预测方法
WO2024006702A1 (en) * 2022-06-27 2024-01-04 Foundation Medicine, Inc. Methods and systems for predicting genotypic calls from whole-slide images
CN115273978B (zh) * 2022-08-29 2023-04-07 西安交通大学 适用于多层谱系树的剪接表观遗传密码的获得方法
CN115406815B (zh) * 2022-11-02 2023-02-03 杭州华得森生物技术有限公司 基于多源数据融合的肿瘤细胞检测设备及其方法
CN115438805B (zh) * 2022-11-08 2023-01-24 江苏智云天工科技有限公司 基于工业质检领域机器学习模型的产品缺陷检测方法
CN115579060B (zh) * 2022-12-08 2023-04-04 国家超级计算天津中心 基因位点检测方法、装置、设备及介质
CN116052769B (zh) * 2023-02-15 2024-06-25 哈尔滨工业大学 一种基于稀疏编码的细胞基因表达量复现方法及系统
WO2024186682A1 (en) * 2023-03-03 2024-09-12 Superfluid Dx, Inc. Systems and methods of detecting splice junctions in extracellular cell-free messenger rna
GB2628173A (en) * 2023-03-17 2024-09-18 Thermo Fisher Scient Geneart Gmbh Methods of producing modified nucleic acid sequences for eliminating adverse splicing events
CN116701128A (zh) * 2023-05-31 2023-09-05 上海创芯致锐互联网络有限公司 一种基于多端感应融合的led芯片烧录反馈监控系统
CN116976857B (zh) * 2023-08-08 2024-03-12 中国铁建电气化局集团北方工程有限公司 一种基于深度学习的铁路电力设备预测性维护方法及系统
CN117095743B (zh) * 2023-10-17 2024-01-05 山东鲁润阿胶药业有限公司 一种小分子肽阿胶的多肽谱匹配数据分析方法及系统
CN117270455B (zh) * 2023-11-20 2024-03-15 成都飞机工业（集团）有限责任公司 一种基于数字滤波的槽腔铣削刀轨优化方法
CN118551402A (zh) * 2024-07-29 2024-08-27 湖南德尔斐网络科技有限公司 云档案信息管理方法、装置、设备及存储介质

Family Cites Families (45)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2044616A1 (en) 1989-10-26 1991-04-27 Roger Y. Tsien Dna sequencing
US5641658A (en) 1994-08-03 1997-06-24 Mosaic Technologies, Inc. Method for performing amplification of nucleic acid with two primers bound to a single solid support
US5675560A (en) 1994-08-22 1997-10-07 Canon Kabushiki Kaisha Information recording/reproducing apparatus with function of seeking light beam to target position, and method therefor
AU6846798A (en) 1997-04-01 1998-10-22 Glaxo Group Limited Method of nucleic acid sequencing
AR021833A1 (es) 1998-09-30 2002-08-07 Applied Research Systems Metodos de amplificacion y secuenciacion de acido nucleico
AU5068800A (en) * 1999-12-23 2001-07-09 Vlaams Interuniversitair Instituut Voor Biotechnologie Vzw Novel cDNAs encoding catenin-binding proteins with function in signalling and/orgene regulation
CN101525660A (zh) 2000-07-07 2009-09-09 维西根生物技术公司 实时序列测定
EP1354064A2 (en) 2000-12-01 2003-10-22 Visigen Biotechnologies, Inc. Enzymatic nucleic acid synthesis: compositions and methods for altering monomer incorporation fidelity
AR031640A1 (es) 2000-12-08 2003-09-24 Applied Research Systems Amplificacion isotermica de acidos nucleicos en un soporte solido
US7057026B2 (en) 2001-12-04 2006-06-06 Solexa Limited Labelled nucleotides
US20040002090A1 (en) 2002-03-05 2004-01-01 Pascal Mayer Methods for detecting genome-wide sequence variations associated with a phenotype
DK3363809T3 (da) 2002-08-23 2020-05-04 Illumina Cambridge Ltd Modificerede nukleotider til polynukleotidsekvensering
WO2005050160A2 (en) 2003-10-30 2005-06-02 Battelle Memorial Institute Detection of a concealed object
EP1790202A4 (en) 2004-09-17 2013-02-20 Pacific Biosciences California APPARATUS AND METHOD FOR ANALYZING MOLECULES
GB0427236D0 (en) 2004-12-13 2005-01-12 Solexa Ltd Improved method of nucleotide detection
CA2611671C (en) 2005-06-15 2013-10-08 Callida Genomics, Inc. Single molecule arrays for genetic and chemical analysis
GB0514910D0 (en) 2005-07-20 2005-08-24 Solexa Ltd Method for sequencing a polynucleotide template
US7405281B2 (en) 2005-09-29 2008-07-29 Pacific Biosciences Of California, Inc. Fluorescent nucleotide analogs and uses therefor
GB0522310D0 (en) 2005-11-01 2005-12-07 Solexa Ltd Methods of preparing libraries of template polynucleotides
EP2021503A1 (en) 2006-03-17 2009-02-11 Solexa Ltd. Isothermal methods for creating clonal single molecule arrays
CA2648149A1 (en) 2006-03-31 2007-11-01 Solexa, Inc. Systems and devices for sequence by synthesis analysis
JP2008027244A (ja) 2006-07-21 2008-02-07 Univ Of Tokyo エクソンアレイ発現プロファイルに基づく疾患特異的選択的スプライシング同定法
US7754429B2 (en) 2006-10-06 2010-07-13 Illumina Cambridge Limited Method for pair-wise sequencing a plurity of target polynucleotides
EP2089517A4 (en) 2006-10-23 2010-10-20 Pacific Biosciences California POLYMERASEENZYME AND REAGENTS FOR ADVANCED NUCKIC ACID SEQUENCING
US20100263066A1 (en) 2007-04-30 2010-10-14 Medtronic, Inc Inert dna sequences for efficient viral packaging and methods of use
JP2009184245A (ja) 2008-02-07 2009-08-20 Sii Printek Inc ヘッドチップユニット、インクジェットヘッド及びインクジェットプリンタ
EP2663656B1 (en) 2011-01-13 2016-08-24 Decode Genetics EHF Genetic variants as markers for use in urinary bladder cancer risk assessment
US20140199698A1 (en) * 2013-01-14 2014-07-17 Peter Keith Rogan METHODS OF PREDICTING AND DETERMINING MUTATED mRNA SPLICE ISOFORMS
US20160110498A1 (en) 2013-03-13 2016-04-21 Illumina, Inc. Methods and systems for aligning repetitive dna elements
ES2875892T3 (es) * 2013-09-20 2021-11-11 Spraying Systems Co Boquilla de pulverización para craqueo catalítico fluidizado
CA2960840A1 (en) 2014-09-18 2016-03-24 Illumina, Inc. Methods and systems for analyzing nucleic acid sequencing data
WO2016145516A1 (en) 2015-03-13 2016-09-22 Deep Genomics Incorporated System and method for training neural networks
US10185803B2 (en) * 2015-06-15 2019-01-22 Deep Genomics Incorporated Systems and methods for classifying, prioritizing and interpreting genetic variants and therapies using a deep neural network
CA2894317C (en) 2015-06-15 2023-08-15 Deep Genomics Incorporated Systems and methods for classifying, prioritizing and interpreting genetic variants and therapies using a deep neural network
US20160371431A1 (en) * 2015-06-22 2016-12-22 Counsyl, Inc. Methods of predicting pathogenicity of genetic sequence variants
SG11201804957VA (en) * 2015-12-16 2018-07-30 Gritstone Oncology Inc Neoantigen identification, manufacture, and use
US20190346442A1 (en) * 2016-04-18 2019-11-14 The Broad Institute, Inc. Improved hla epitope prediction
US11137462B2 (en) 2016-06-10 2021-10-05 Board Of Trustees Of Michigan State University System and method for quantifying cell numbers in magnetic resonance imaging (MRI)
US20180107927A1 (en) * 2016-06-15 2018-04-19 Deep Genomics Incorporated Architectures for training neural networks using biological sequences, conservation, and molecular phenotypes
CN106156538A (zh) * 2016-06-29 2016-11-23 天津诺禾医学检验所有限公司 一种全基因组变异数据的注释方法和注释系统
US11080591B2 (en) * 2016-09-06 2021-08-03 Deepmind Technologies Limited Processing sequences using convolutional neural networks
WO2019028725A1 (en) 2017-08-10 2019-02-14 Intel Corporation CONVOLUTIVE NEURAL NETWORK STRUCTURE USING INVERTED CONNECTIONS AND OBJECTIVITY ANTERIORITIES TO DETECT AN OBJECT
US10068557B1 (en) * 2017-08-23 2018-09-04 Google Llc Generating music with deep neural networks
SG11201912781TA (en) * 2017-10-16 2020-01-30 Illumina Inc Aberrant splicing detection using convolutional neural networks (cnns)
US10423861B2 (en) 2017-10-16 2019-09-24 Illumina, Inc. Deep learning-based techniques for training deep convolutional neural networks

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