CA2894317A1 - Systemes et methodes de classement, priorisation et interpretation de variants genetiques et therapies employant un reseau neuronal profond - Google Patents

Systemes et methodes de classement, priorisation et interpretation de variants genetiques et therapies employant un reseau neuronal profond Download PDF

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CA2894317A1
CA2894317A1 CA2894317A CA2894317A CA2894317A1 CA 2894317 A1 CA2894317 A1 CA 2894317A1 CA 2894317 A CA2894317 A CA 2894317A CA 2894317 A CA2894317 A CA 2894317A CA 2894317 A1 CA2894317 A1 CA 2894317A1
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Brendan Frey
Michael K.K. Leung
Andrew Thomas Delong
Hui Yuan XIONG
Babak Alipanahi
Leo J. Lee
Hannes Bretschneider
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    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
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    • G16B5/00ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
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Abstract

Il est décrit des systèmes et procédés qui reçoivent, comme entrée, une séquence dacide désoxyribonucléique (ADN) ou dacide ribonucléique, extraient des caractéristiques, et appliquent des couches dunités de traitement afin de calculer au moins une variable de cellule propre à une condition, correspondant à des quantités cellulaires mesurées dans différentes conditions. Le système pourrait sappliquer à une séquence contenant une variante génétique, ainsi quà une séquence de référence correspondante, afin de déterminer jusquà quel point les variables de cellule propres à une condition changent en raison de la variante. Le changement dans les variables de cellule propres à une condition est utilisé pour calculer un score représentant jusquà quel point la variante est nuisible, pour classer le niveau de caractère nuisible dune variante, pour établir des variantes aux fins de traitement subséquent, et pour comparer une variante de test à des variantes délétères connues. En modifiant la variante ou les caractéristiques extraites pour intégrer les effets de modification dADN, de thérapie doligonucléotide, de thérapie de liaison de protéine dADN ou dacide ribonucléique, ou dautres thérapies, le système peut être utilisé pour déterminer sil est possible de réduire les effets nuisibles de la variante originale.
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Cited By (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108229523A (zh) * 2017-04-13 2018-06-29 深圳市商汤科技有限公司 图像检测、神经网络训练方法、装置和电子设备
CN108680861A (zh) * 2018-03-05 2018-10-19 北京航空航天大学 锂电池剩余循环寿命预测模型的构建方法及装置
WO2019033381A1 (fr) * 2017-08-18 2019-02-21 Intel Corporation Réseaux neuronaux efficaces à structures matricielles élaborées dans des environnements d'apprentissage automatique
WO2019079180A1 (fr) * 2017-10-16 2019-04-25 Illumina, Inc. Réseaux neuronaux à convolution profonde de classification de variants
WO2019140402A1 (fr) * 2018-01-15 2019-07-18 Illumina, Inc. Classificateur de variants basé sur un apprentissage profond
WO2019200338A1 (fr) * 2018-04-12 2019-10-17 Illumina, Inc. Classificateur de variantes basé sur des réseaux neuronaux profonds
NL2020861B1 (en) * 2018-04-12 2019-10-22 Illumina Inc Variant classifier based on deep neural networks
CN110362807A (zh) * 2018-03-26 2019-10-22 中国科学院信息工程研究所 基于自编码器的变体词识别方法及系统
WO2020181111A1 (fr) * 2019-03-07 2020-09-10 Nvidia Corporation Détection de mutation génétique à l'aide de l'apprentissage profond
CN112017771A (zh) * 2020-08-31 2020-12-01 吾征智能技术(北京)有限公司 一种基于精液常规检查数据的疾病预测模型的构建方法及系统
CN112437961A (zh) * 2018-05-14 2021-03-02 宽腾矽公司 机器学习使能的生物聚合物组装
CN113571183A (zh) * 2020-04-28 2021-10-29 西门子医疗有限公司 Covid-19患者管理的风险预测
CN113810335A (zh) * 2020-06-12 2021-12-17 武汉斗鱼鱼乐网络科技有限公司 一种识别目标ip的方法及系统、存储介质、设备
US11210554B2 (en) 2019-03-21 2021-12-28 Illumina, Inc. Artificial intelligence-based generation of sequencing metadata
CN114360652A (zh) * 2022-01-28 2022-04-15 深圳太力生物技术有限责任公司 细胞株相似性评价方法及相似细胞株培养基配方推荐方法
US11347965B2 (en) 2019-03-21 2022-05-31 Illumina, Inc. Training data generation for artificial intelligence-based sequencing
US11397889B2 (en) 2017-10-16 2022-07-26 Illumina, Inc. Aberrant splicing detection using convolutional neural networks (CNNs)
RU2767337C9 (ru) * 2017-10-16 2022-09-12 Иллюмина, Инк. Способы обучения глубоких сверточных нейронных сетей на основе глубокого обучения
US11482305B2 (en) 2018-08-18 2022-10-25 Synkrino Biotherapeutics, Inc. Artificial intelligence analysis of RNA transcriptome for drug discovery
US11515010B2 (en) 2021-04-15 2022-11-29 Illumina, Inc. Deep convolutional neural networks to predict variant pathogenicity using three-dimensional (3D) protein structures
US11561196B2 (en) 2018-01-08 2023-01-24 Illumina, Inc. Systems and devices for high-throughput sequencing with semiconductor-based detection
US11593649B2 (en) 2019-05-16 2023-02-28 Illumina, Inc. Base calling using convolutions
US11749380B2 (en) 2020-02-20 2023-09-05 Illumina, Inc. Artificial intelligence-based many-to-many base calling
CN116798521A (zh) * 2023-07-19 2023-09-22 广东美赛尔细胞生物科技有限公司 免疫细胞培养控制系统的异常监测方法及系统
US11842794B2 (en) 2019-03-19 2023-12-12 The University Of Hong Kong Variant calling in single molecule sequencing using a convolutional neural network
US11861491B2 (en) 2017-10-16 2024-01-02 Illumina, Inc. Deep learning-based pathogenicity classifier for promoter single nucleotide variants (pSNVs)
US11953464B2 (en) 2018-01-08 2024-04-09 Illumina, Inc. Semiconductor-based biosensors for base calling
US12106828B2 (en) 2019-05-16 2024-10-01 Illumina, Inc. Systems and devices for signal corrections in pixel-based sequencing

Cited By (84)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108229523A (zh) * 2017-04-13 2018-06-29 深圳市商汤科技有限公司 图像检测、神经网络训练方法、装置和电子设备
US20200234137A1 (en) * 2017-08-18 2020-07-23 Intel Corporation Efficient neural networks with elaborate matrix structures in machine learning environments
WO2019033381A1 (fr) * 2017-08-18 2019-02-21 Intel Corporation Réseaux neuronaux efficaces à structures matricielles élaborées dans des environnements d'apprentissage automatique
US11315016B2 (en) 2017-10-16 2022-04-26 Illumina, Inc. Deep convolutional neural networks for variant classification
WO2019079180A1 (fr) * 2017-10-16 2019-04-25 Illumina, Inc. Réseaux neuronaux à convolution profonde de classification de variants
KR102539188B1 (ko) 2017-10-16 2023-06-01 일루미나, 인코포레이티드 심층 컨볼루션 신경망을 트레이닝하기 위한 심층 학습-기반 기술
US10423861B2 (en) 2017-10-16 2019-09-24 Illumina, Inc. Deep learning-based techniques for training deep convolutional neural networks
KR102314219B1 (ko) 2017-10-16 2021-10-18 일루미나, 인코포레이티드 심층 컨볼루션 신경망의 앙상블을 트레이닝하기 위한 반감독 학습
US11488009B2 (en) 2017-10-16 2022-11-01 Illumina, Inc. Deep learning-based splice site classification
RU2767337C9 (ru) * 2017-10-16 2022-09-12 Иллюмина, Инк. Способы обучения глубоких сверточных нейронных сетей на основе глубокого обучения
KR102433458B1 (ko) 2017-10-16 2022-08-18 일루미나, 인코포레이티드 심층 컨볼루션 신경망의 앙상블을 트레이닝하기 위한 반감독 학습
KR20200006564A (ko) * 2017-10-16 2020-01-20 일루미나, 인코포레이티드 심층 컨볼루션 신경망을 트레이닝하기 위한 심층 학습-기반 기술
US11397889B2 (en) 2017-10-16 2022-07-26 Illumina, Inc. Aberrant splicing detection using convolutional neural networks (CNNs)
KR20200011445A (ko) * 2017-10-16 2020-02-03 일루미나, 인코포레이티드 심층 컨볼루션 신경망의 앙상블을 트레이닝하기 위한 반감독 학습
CN110800062A (zh) * 2017-10-16 2020-02-14 因美纳有限公司 用于变体分类的深度卷积神经网络
WO2019079166A1 (fr) * 2017-10-16 2019-04-25 Illumina, Inc. Techniques basées sur l'apprentissage profond d'apprentissage de réseaux neuronaux à convolution profonde
CN110832596A (zh) * 2017-10-16 2020-02-21 因美纳有限公司 基于深度学习的深度卷积神经网络训练方法
US11386324B2 (en) 2017-10-16 2022-07-12 Illumina, Inc. Recurrent neural network-based variant pathogenicity classifier
AU2018352201B2 (en) * 2017-10-16 2021-12-09 Illumina, Inc. Deep convolutional neural networks for variant classification
AU2021290303B2 (en) * 2017-10-16 2023-08-24 Illumina, Inc. Semi-supervised learning for training an ensemble of deep convolutional neural networks
AU2018350891B9 (en) * 2017-10-16 2022-05-19 Illumina, Inc. Deep learning-based techniques for training deep convolutional neural networks
IL283107B2 (en) * 2017-10-16 2023-06-01 Illumina Inc Classifies pathogenic variants using a recurrent neural network
KR102196522B1 (ko) * 2017-10-16 2020-12-29 일루미나, 인코포레이티드 심층 컨볼루션 신경망을 트레이닝하기 위한 심층 학습-기반 기술
KR20210000321A (ko) * 2017-10-16 2021-01-04 일루미나, 인코포레이티드 심층 컨볼루션 신경망을 트레이닝하기 위한 심층 학습-기반 기술
RU2767337C2 (ru) * 2017-10-16 2022-03-17 Иллюмина, Инк. Способы обучения глубоких сверточных нейронных сетей на основе глубокого обучения
CN110832596B (zh) * 2017-10-16 2021-03-26 因美纳有限公司 基于深度学习的深度卷积神经网络训练方法
US11798650B2 (en) 2017-10-16 2023-10-24 Illumina, Inc. Semi-supervised learning for training an ensemble of deep convolutional neural networks
US11837324B2 (en) 2017-10-16 2023-12-05 Illumina, Inc. Deep learning-based aberrant splicing detection
US11861491B2 (en) 2017-10-16 2024-01-02 Illumina, Inc. Deep learning-based pathogenicity classifier for promoter single nucleotide variants (pSNVs)
AU2018350891B2 (en) * 2017-10-16 2021-12-16 Illumina, Inc. Deep learning-based techniques for training deep convolutional neural networks
KR20210127798A (ko) * 2017-10-16 2021-10-22 일루미나, 인코포레이티드 심층 컨볼루션 신경망의 앙상블을 트레이닝하기 위한 반감독 학습
US11561196B2 (en) 2018-01-08 2023-01-24 Illumina, Inc. Systems and devices for high-throughput sequencing with semiconductor-based detection
US11953464B2 (en) 2018-01-08 2024-04-09 Illumina, Inc. Semiconductor-based biosensors for base calling
CN110832510A (zh) * 2018-01-15 2020-02-21 因美纳有限公司 基于深度学习的变体分类器
KR20200010488A (ko) * 2018-01-15 2020-01-30 일루미나, 인코포레이티드 심층 학습 기반 변이체 분류자
WO2019140402A1 (fr) * 2018-01-15 2019-07-18 Illumina, Inc. Classificateur de variants basé sur un apprentissage profond
CN110832510B (zh) * 2018-01-15 2024-10-22 因美纳有限公司 基于深度学习的变体分类器
KR102273717B1 (ko) 2018-01-15 2021-07-06 일루미나, 인코포레이티드 심층 학습 기반 변이체 분류자
IL283427B1 (en) * 2018-01-15 2023-06-01 Illumina Inc Identifying variants using Empiric ranking of variants
IL283427B2 (en) * 2018-01-15 2023-10-01 Illumina Inc Identifying variants using Empiric ranking of variants
JP2021120869A (ja) * 2018-01-15 2021-08-19 イルミナ インコーポレイテッド 経験的バリアントスコア(evs)ベースの深層学習バリアントコーラ
US11705219B2 (en) 2018-01-15 2023-07-18 Illumina, Inc. Deep learning-based variant classifier
JP2020525893A (ja) * 2018-01-15 2020-08-27 イルミナ インコーポレイテッド 深層学習ベースのバリアント分類器
AU2019206709B2 (en) * 2018-01-15 2021-09-09 Illumina Cambridge Limited Deep learning-based variant classifier
EP3901833A1 (fr) * 2018-01-15 2021-10-27 Illumina, Inc. Classificateur de variants basé sur un apprentissage profond
AU2021282469B2 (en) * 2018-01-15 2023-07-20 Illumina Cambridge Limited Deep learning-based variant classifier
CN108680861A (zh) * 2018-03-05 2018-10-19 北京航空航天大学 锂电池剩余循环寿命预测模型的构建方法及装置
CN110362807A (zh) * 2018-03-26 2019-10-22 中国科学院信息工程研究所 基于自编码器的变体词识别方法及系统
CN110832597A (zh) * 2018-04-12 2020-02-21 因美纳有限公司 基于深度神经网络的变体分类器
US20190318806A1 (en) * 2018-04-12 2019-10-17 Illumina, Inc. Variant Classifier Based on Deep Neural Networks
WO2019200338A1 (fr) * 2018-04-12 2019-10-17 Illumina, Inc. Classificateur de variantes basé sur des réseaux neuronaux profonds
NL2020861B1 (en) * 2018-04-12 2019-10-22 Illumina Inc Variant classifier based on deep neural networks
CN112437961A (zh) * 2018-05-14 2021-03-02 宽腾矽公司 机器学习使能的生物聚合物组装
US11482305B2 (en) 2018-08-18 2022-10-25 Synkrino Biotherapeutics, Inc. Artificial intelligence analysis of RNA transcriptome for drug discovery
WO2020181111A1 (fr) * 2019-03-07 2020-09-10 Nvidia Corporation Détection de mutation génétique à l'aide de l'apprentissage profond
GB2596714A (en) * 2019-03-07 2022-01-05 Nvidia Corp Genetic mutation detection using deep learning
US12094572B1 (en) 2019-03-07 2024-09-17 Nvidia Corporation Genetic mutation detection using deep learning
GB2624778B (en) * 2019-03-07 2024-09-11 Nvidia Corp Genetic mutation detection using deep learning
US11443832B2 (en) 2019-03-07 2022-09-13 Nvidia Corporation Genetic mutation detection using deep learning
GB2596714B (en) * 2019-03-07 2024-07-17 Nvidia Corp Genetic mutation detection using deep learning
GB2624778A (en) * 2019-03-07 2024-05-29 Nvidia Corp Genetic mutation detection using deep learning
US11842794B2 (en) 2019-03-19 2023-12-12 The University Of Hong Kong Variant calling in single molecule sequencing using a convolutional neural network
US11908548B2 (en) 2019-03-21 2024-02-20 Illumina, Inc. Training data generation for artificial intelligence-based sequencing
US12119088B2 (en) 2019-03-21 2024-10-15 Illumina, Inc. Deep neural network-based sequencing
US11676685B2 (en) 2019-03-21 2023-06-13 Illumina, Inc. Artificial intelligence-based quality scoring
US11783917B2 (en) 2019-03-21 2023-10-10 Illumina, Inc. Artificial intelligence-based base calling
US11347965B2 (en) 2019-03-21 2022-05-31 Illumina, Inc. Training data generation for artificial intelligence-based sequencing
US11436429B2 (en) 2019-03-21 2022-09-06 Illumina, Inc. Artificial intelligence-based sequencing
US11210554B2 (en) 2019-03-21 2021-12-28 Illumina, Inc. Artificial intelligence-based generation of sequencing metadata
US11961593B2 (en) 2019-03-21 2024-04-16 Illumina, Inc. Artificial intelligence-based determination of analyte data for base calling
US11817182B2 (en) 2019-05-16 2023-11-14 Illumina, Inc. Base calling using three-dimentional (3D) convolution
US11593649B2 (en) 2019-05-16 2023-02-28 Illumina, Inc. Base calling using convolutions
US12106828B2 (en) 2019-05-16 2024-10-01 Illumina, Inc. Systems and devices for signal corrections in pixel-based sequencing
US11749380B2 (en) 2020-02-20 2023-09-05 Illumina, Inc. Artificial intelligence-based many-to-many base calling
US12106829B2 (en) 2020-02-20 2024-10-01 Illumina, Inc. Artificial intelligence-based many-to-many base calling
CN113571183A (zh) * 2020-04-28 2021-10-29 西门子医疗有限公司 Covid-19患者管理的风险预测
CN113810335B (zh) * 2020-06-12 2023-08-22 武汉斗鱼鱼乐网络科技有限公司 一种识别目标ip的方法及系统、存储介质、设备
CN113810335A (zh) * 2020-06-12 2021-12-17 武汉斗鱼鱼乐网络科技有限公司 一种识别目标ip的方法及系统、存储介质、设备
CN112017771B (zh) * 2020-08-31 2024-02-27 吾征智能技术(北京)有限公司 一种基于精液常规检查数据的疾病预测模型的构建方法及系统
CN112017771A (zh) * 2020-08-31 2020-12-01 吾征智能技术(北京)有限公司 一种基于精液常规检查数据的疾病预测模型的构建方法及系统
US11515010B2 (en) 2021-04-15 2022-11-29 Illumina, Inc. Deep convolutional neural networks to predict variant pathogenicity using three-dimensional (3D) protein structures
CN114360652A (zh) * 2022-01-28 2022-04-15 深圳太力生物技术有限责任公司 细胞株相似性评价方法及相似细胞株培养基配方推荐方法
CN116798521B (zh) * 2023-07-19 2024-02-23 广东美赛尔细胞生物科技有限公司 免疫细胞培养控制系统的异常监测方法及系统
CN116798521A (zh) * 2023-07-19 2023-09-22 广东美赛尔细胞生物科技有限公司 免疫细胞培养控制系统的异常监测方法及系统

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