CN112840402A - 获得细胞内确定性事件的方法及电子设备 - Google Patents
获得细胞内确定性事件的方法及电子设备 Download PDFInfo
- Publication number
- CN112840402A CN112840402A CN201980001864.6A CN201980001864A CN112840402A CN 112840402 A CN112840402 A CN 112840402A CN 201980001864 A CN201980001864 A CN 201980001864A CN 112840402 A CN112840402 A CN 112840402A
- Authority
- CN
- China
- Prior art keywords
- gene
- genome
- predetermined
- obtaining
- parameter data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 87
- 108090000623 proteins and genes Proteins 0.000 claims abstract description 252
- 230000014509 gene expression Effects 0.000 claims abstract description 108
- 230000000694 effects Effects 0.000 claims abstract description 81
- 230000035790 physiological processes and functions Effects 0.000 claims description 33
- 230000001575 pathological effect Effects 0.000 claims description 32
- 239000002131 composite material Substances 0.000 claims description 23
- 238000011156 evaluation Methods 0.000 claims description 23
- 230000008859 change Effects 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 10
- 230000009467 reduction Effects 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000002560 therapeutic procedure Methods 0.000 claims description 3
- 206010028980 Neoplasm Diseases 0.000 description 123
- 239000000523 sample Substances 0.000 description 93
- 201000010099 disease Diseases 0.000 description 74
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 74
- 210000004027 cell Anatomy 0.000 description 69
- 201000011510 cancer Diseases 0.000 description 34
- 230000004083 survival effect Effects 0.000 description 33
- 230000035772 mutation Effects 0.000 description 28
- 208000020816 lung neoplasm Diseases 0.000 description 23
- 238000011282 treatment Methods 0.000 description 23
- 206010058467 Lung neoplasm malignant Diseases 0.000 description 19
- 201000005202 lung cancer Diseases 0.000 description 19
- 239000011159 matrix material Substances 0.000 description 16
- 230000008569 process Effects 0.000 description 16
- 206010027476 Metastases Diseases 0.000 description 11
- 210000001035 gastrointestinal tract Anatomy 0.000 description 11
- 230000009401 metastasis Effects 0.000 description 11
- 238000004364 calculation method Methods 0.000 description 10
- 238000012360 testing method Methods 0.000 description 10
- 238000004088 simulation Methods 0.000 description 9
- 238000004590 computer program Methods 0.000 description 8
- 230000003834 intracellular effect Effects 0.000 description 8
- 230000001991 pathophysiological effect Effects 0.000 description 8
- 230000001419 dependent effect Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 7
- 210000004072 lung Anatomy 0.000 description 7
- 208000006990 cholangiocarcinoma Diseases 0.000 description 6
- 208000014899 intrahepatic bile duct cancer Diseases 0.000 description 6
- 238000010606 normalization Methods 0.000 description 6
- 238000004393 prognosis Methods 0.000 description 6
- 241000894007 species Species 0.000 description 6
- 208000003174 Brain Neoplasms Diseases 0.000 description 5
- 230000003902 lesion Effects 0.000 description 5
- 238000012549 training Methods 0.000 description 5
- 230000002068 genetic effect Effects 0.000 description 4
- 208000037841 lung tumor Diseases 0.000 description 4
- 230000002829 reductive effect Effects 0.000 description 4
- 208000010507 Adenocarcinoma of Lung Diseases 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 3
- 230000004069 differentiation Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 201000005249 lung adenocarcinoma Diseases 0.000 description 3
- 201000010225 mixed cell type cancer Diseases 0.000 description 3
- 208000029638 mixed neoplasm Diseases 0.000 description 3
- 238000007619 statistical method Methods 0.000 description 3
- 210000004881 tumor cell Anatomy 0.000 description 3
- 108020004414 DNA Proteins 0.000 description 2
- 208000031448 Genomic Instability Diseases 0.000 description 2
- 230000004075 alteration Effects 0.000 description 2
- 210000004556 brain Anatomy 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 238000002651 drug therapy Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 230000008826 genomic mutation Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 239000002207 metabolite Substances 0.000 description 2
- 206010061289 metastatic neoplasm Diseases 0.000 description 2
- 238000013546 non-drug therapy Methods 0.000 description 2
- 150000007523 nucleic acids Chemical class 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 102000004169 proteins and genes Human genes 0.000 description 2
- 238000007637 random forest analysis Methods 0.000 description 2
- 230000000717 retained effect Effects 0.000 description 2
- 238000012163 sequencing technique Methods 0.000 description 2
- 230000019491 signal transduction Effects 0.000 description 2
- 238000012706 support-vector machine Methods 0.000 description 2
- 230000001225 therapeutic effect Effects 0.000 description 2
- 238000007482 whole exome sequencing Methods 0.000 description 2
- 238000012070 whole genome sequencing analysis Methods 0.000 description 2
- 102000008096 B7-H1 Antigen Human genes 0.000 description 1
- 108010074708 B7-H1 Antigen Proteins 0.000 description 1
- 206010006187 Breast cancer Diseases 0.000 description 1
- 208000026310 Breast neoplasm Diseases 0.000 description 1
- 206010061818 Disease progression Diseases 0.000 description 1
- 241000282412 Homo Species 0.000 description 1
- 229940076838 Immune checkpoint inhibitor Drugs 0.000 description 1
- 102000037984 Inhibitory immune checkpoint proteins Human genes 0.000 description 1
- 108091008026 Inhibitory immune checkpoint proteins Proteins 0.000 description 1
- 206010027458 Metastases to lung Diseases 0.000 description 1
- 108091028043 Nucleic acid sequence Proteins 0.000 description 1
- 208000024770 Thyroid neoplasm Diseases 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- 101150010487 are gene Proteins 0.000 description 1
- 239000012472 biological sample Substances 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 210000001124 body fluid Anatomy 0.000 description 1
- 239000010839 body fluid Substances 0.000 description 1
- 230000024245 cell differentiation Effects 0.000 description 1
- 230000003915 cell function Effects 0.000 description 1
- 230000010261 cell growth Effects 0.000 description 1
- 230000008711 chromosomal rearrangement Effects 0.000 description 1
- 230000002301 combined effect Effects 0.000 description 1
- 238000002790 cross-validation Methods 0.000 description 1
- 208000030381 cutaneous melanoma Diseases 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005750 disease progression Effects 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 238000003205 genotyping method Methods 0.000 description 1
- 239000012274 immune-checkpoint protein inhibitor Substances 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 150000002632 lipids Chemical class 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 229920002521 macromolecule Polymers 0.000 description 1
- 230000003211 malignant effect Effects 0.000 description 1
- 238000007620 mathematical function Methods 0.000 description 1
- 201000001441 melanoma Diseases 0.000 description 1
- 230000002503 metabolic effect Effects 0.000 description 1
- 229910021645 metal ion Inorganic materials 0.000 description 1
- 230000001394 metastastic effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003147 molecular marker Substances 0.000 description 1
- 238000003012 network analysis Methods 0.000 description 1
- 108020004707 nucleic acids Proteins 0.000 description 1
- 102000039446 nucleic acids Human genes 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 230000007170 pathology Effects 0.000 description 1
- 230000037361 pathway Effects 0.000 description 1
- 230000035479 physiological effects, processes and functions Effects 0.000 description 1
- 229920000642 polymer Polymers 0.000 description 1
- 230000035755 proliferation Effects 0.000 description 1
- 238000011946 reduction process Methods 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 201000003708 skin melanoma Diseases 0.000 description 1
- 229940126586 small molecule drug Drugs 0.000 description 1
- 150000003384 small molecules Chemical class 0.000 description 1
- 230000000392 somatic effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000013179 statistical model Methods 0.000 description 1
- 210000000130 stem cell Anatomy 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000008685 targeting Effects 0.000 description 1
- 201000002510 thyroid cancer Diseases 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- 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
- G16B25/00—ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
- G16B25/10—Gene or protein expression profiling; Expression-ratio estimation or normalisation
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic 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
- 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
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Chemical & Material Sciences (AREA)
- Medical Informatics (AREA)
- Biophysics (AREA)
- Biotechnology (AREA)
- General Health & Medical Sciences (AREA)
- Genetics & Genomics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Theoretical Computer Science (AREA)
- Molecular Biology (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Organic Chemistry (AREA)
- Data Mining & Analysis (AREA)
- Analytical Chemistry (AREA)
- Zoology (AREA)
- Wood Science & Technology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Databases & Information Systems (AREA)
- Public Health (AREA)
- Evolutionary Computation (AREA)
- Epidemiology (AREA)
- Artificial Intelligence (AREA)
- Bioethics (AREA)
- Software Systems (AREA)
- Microbiology (AREA)
- Immunology (AREA)
- Biochemistry (AREA)
- General Engineering & Computer Science (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Apparatus Associated With Microorganisms And Enzymes (AREA)
Abstract
本申请公开获得细胞内确定性事件的方法及电子设备,所述方法包括:电子设备获得取自目标对象的被测样本的若干突变基因信息;以及所述电子设备依据所述若干突变基因信息,获得所述若干突变基因对预定基因组中的各个基因的表达活性的综合影响参数数据。
Description
PCT国内申请,说明书已公开。
Claims (10)
- PCT国内申请,权利要求书已公开。
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2019/104007 WO2021042237A1 (zh) | 2019-09-02 | 2019-09-02 | 获得细胞内确定性事件的方法及电子设备 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112840402A true CN112840402A (zh) | 2021-05-25 |
CN112840402B CN112840402B (zh) | 2024-05-07 |
Family
ID=74852283
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201980001864.6A Active CN112840402B (zh) | 2019-09-02 | 2019-09-02 | 获得细胞内确定性事件的方法及电子设备 |
Country Status (3)
Country | Link |
---|---|
US (1) | US20220293213A1 (zh) |
CN (1) | CN112840402B (zh) |
WO (1) | WO2021042237A1 (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115035951A (zh) * | 2022-05-27 | 2022-09-09 | 中国科学院深圳理工大学(筹) | 一种突变签名的预测方法、装置、终端设备及存储介质 |
Citations (16)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060088870A1 (en) * | 2004-10-22 | 2006-04-27 | Finkelstein Sydney D | Topographic genotyping for determining the diagnosis, malignant potential, and biologic behavior of pancreatic cysts and related conditions |
CN102014891A (zh) * | 2008-03-14 | 2011-04-13 | 比奥纽默里克药物公司 | 增加癌症患者存活时间的化合物的组合物和使用方法 |
US20130191098A1 (en) * | 2010-06-02 | 2013-07-25 | Board Of Regents Of The University Of Texas System | Methods and systems for simulations of complex biological networks using gene expression indexing in computational models |
CN104732116A (zh) * | 2015-03-13 | 2015-06-24 | 西安交通大学 | 一种基于生物网络的癌症驱动基因的筛选方法 |
US20150218648A1 (en) * | 2012-08-01 | 2015-08-06 | Pacylex Pharmaceuticals Inc. | Methods and compositions for diagnosis and prognosis in breast cancer |
US20150296758A1 (en) * | 2012-12-03 | 2015-10-22 | The Johns Hopkins University | Humanized transgenic single nucleotide polymorphism animal systems |
CN106834270A (zh) * | 2017-02-27 | 2017-06-13 | 新疆大学 | 一种离子束注入裂盖马鞍菌全基因组突变及定向进化的方法 |
CN107003300A (zh) * | 2014-12-12 | 2017-08-01 | 凯尔科迪公司 | 测量erbb信号传导通路活性以诊断和治疗癌症患者的方法 |
CN107076727A (zh) * | 2014-07-21 | 2017-08-18 | 诺威尔卢斯德克有限公司 | 用于确定患者特定突变的致癌指数的方法和系统 |
WO2017181134A2 (en) * | 2016-04-15 | 2017-10-19 | F. Hoffman-La Roche Ag | Detecting cancer driver genes and pathways |
CN108009400A (zh) * | 2018-01-11 | 2018-05-08 | 至本医疗科技(上海)有限公司 | 全基因组肿瘤突变负荷预测方法、设备以及存储介质 |
WO2018129387A1 (en) * | 2017-01-06 | 2018-07-12 | G1 Therapeutics, Inc. | Combination therapy for the treatment of cancer |
CN109192316A (zh) * | 2018-07-02 | 2019-01-11 | 杭州师范大学 | 一种基于基因网络分析的疾病亚型预测系统 |
CN109346127A (zh) * | 2018-08-09 | 2019-02-15 | 中山大学 | 一种用于检测潜在癌症驱动基因的统计分析方法 |
CN109949861A (zh) * | 2019-03-29 | 2019-06-28 | 深圳裕策生物科技有限公司 | 肿瘤突变负荷检测方法、装置和存储介质 |
CN109994151A (zh) * | 2019-01-23 | 2019-07-09 | 杭州师范大学 | 基于复杂网络与机器学习方法的肿瘤驱动基因预测系统 |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20170017749A1 (en) * | 2015-07-15 | 2017-01-19 | International Business Machines Corporation | System and method for identifying cancer driver genes |
-
2019
- 2019-09-02 US US17/639,726 patent/US20220293213A1/en active Pending
- 2019-09-02 CN CN201980001864.6A patent/CN112840402B/zh active Active
- 2019-09-02 WO PCT/CN2019/104007 patent/WO2021042237A1/zh active Application Filing
Patent Citations (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060088870A1 (en) * | 2004-10-22 | 2006-04-27 | Finkelstein Sydney D | Topographic genotyping for determining the diagnosis, malignant potential, and biologic behavior of pancreatic cysts and related conditions |
CN102014891A (zh) * | 2008-03-14 | 2011-04-13 | 比奥纽默里克药物公司 | 增加癌症患者存活时间的化合物的组合物和使用方法 |
US20130191098A1 (en) * | 2010-06-02 | 2013-07-25 | Board Of Regents Of The University Of Texas System | Methods and systems for simulations of complex biological networks using gene expression indexing in computational models |
US20150218648A1 (en) * | 2012-08-01 | 2015-08-06 | Pacylex Pharmaceuticals Inc. | Methods and compositions for diagnosis and prognosis in breast cancer |
US20150296758A1 (en) * | 2012-12-03 | 2015-10-22 | The Johns Hopkins University | Humanized transgenic single nucleotide polymorphism animal systems |
CN107076727A (zh) * | 2014-07-21 | 2017-08-18 | 诺威尔卢斯德克有限公司 | 用于确定患者特定突变的致癌指数的方法和系统 |
CN107003300A (zh) * | 2014-12-12 | 2017-08-01 | 凯尔科迪公司 | 测量erbb信号传导通路活性以诊断和治疗癌症患者的方法 |
CN104732116A (zh) * | 2015-03-13 | 2015-06-24 | 西安交通大学 | 一种基于生物网络的癌症驱动基因的筛选方法 |
WO2017181134A2 (en) * | 2016-04-15 | 2017-10-19 | F. Hoffman-La Roche Ag | Detecting cancer driver genes and pathways |
WO2018129387A1 (en) * | 2017-01-06 | 2018-07-12 | G1 Therapeutics, Inc. | Combination therapy for the treatment of cancer |
US20190321332A1 (en) * | 2017-01-06 | 2019-10-24 | G1 Therapeutics, Inc. | Combination therapy for treatment of cancer |
CN106834270A (zh) * | 2017-02-27 | 2017-06-13 | 新疆大学 | 一种离子束注入裂盖马鞍菌全基因组突变及定向进化的方法 |
CN108009400A (zh) * | 2018-01-11 | 2018-05-08 | 至本医疗科技(上海)有限公司 | 全基因组肿瘤突变负荷预测方法、设备以及存储介质 |
CN109192316A (zh) * | 2018-07-02 | 2019-01-11 | 杭州师范大学 | 一种基于基因网络分析的疾病亚型预测系统 |
CN109346127A (zh) * | 2018-08-09 | 2019-02-15 | 中山大学 | 一种用于检测潜在癌症驱动基因的统计分析方法 |
CN109994151A (zh) * | 2019-01-23 | 2019-07-09 | 杭州师范大学 | 基于复杂网络与机器学习方法的肿瘤驱动基因预测系统 |
CN109949861A (zh) * | 2019-03-29 | 2019-06-28 | 深圳裕策生物科技有限公司 | 肿瘤突变负荷检测方法、装置和存储介质 |
Non-Patent Citations (4)
Title |
---|
DALIT ENGELHARDT,等: "Mutation rate variability as a driving force in adaptive evolution", 《PHYSICAL REVIEW E》, vol. 99, 28 February 2019 (2019-02-28), pages 1 - 7 * |
LAURA SIMONE BISOGNO,等: "RNA regulons in cancer and inflammation", 《CURR OPIN GENET DEV.》, vol. 48, 28 February 2018 (2018-02-28), pages 97 - 103 * |
MEI YANG,等: "DAGM: A novel modelling framework to assess the risk of HER2-negative breast cancer based on germline rare coding mutations", 《EBIOMEDICINE》, vol. 69, 19 June 2021 (2021-06-19), pages 1 - 11 * |
田振: "苹果蠹蛾信息素结合蛋白的研究及活性气味分子的筛选", 《中国博士学位论文全文数据库 农业科技辑》, no. 8, 15 August 2016 (2016-08-15), pages 046 - 21 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115035951A (zh) * | 2022-05-27 | 2022-09-09 | 中国科学院深圳理工大学(筹) | 一种突变签名的预测方法、装置、终端设备及存储介质 |
Also Published As
Publication number | Publication date |
---|---|
CN112840402B (zh) | 2024-05-07 |
WO2021042237A1 (zh) | 2021-03-11 |
US20220293213A1 (en) | 2022-09-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20160306917A1 (en) | Methods for predicting an individual's clinical treatment outcome from sampling a group of patient's biological profiles | |
US9940383B2 (en) | Method, an arrangement and a computer program product for analysing a biological or medical sample | |
CN108038352B (zh) | 结合差异化分析和关联规则挖掘全基因组关键基因的方法 | |
CN109952611A (zh) | 达沙替尼响应预测模型及其方法 | |
JP7568276B2 (ja) | 個体の形質情報を予測するためのシステムまたは方法 | |
US20230056839A1 (en) | Cancer prognosis | |
Acharya et al. | Multi-view feature selection for identifying gene markers: a diversified biological data driven approach | |
CN112771618B (zh) | 疾病治疗管理因素特征自动预测方法及电子设备 | |
Cipolli III et al. | Bayesian nonparametric multiple testing | |
CN112840402B (zh) | 获得细胞内确定性事件的方法及电子设备 | |
CN112930573B (zh) | 疾病类型自动确定方法及电子设备 | |
Bote-Curiel et al. | Text analytics and mixed feature extraction in ovarian cancer clinical and genetic data | |
Qiu et al. | Genomic processing for cancer classification and prediction-Abroad review of the recent advances in model-based genomoric and proteomic signal processing for cancer detection | |
US20180181705A1 (en) | Method, an arrangement and a computer program product for analysing a biological or medical sample | |
US20230046438A1 (en) | Method for predicting cell spatial relation based on single-cell transcriptome sequencing data | |
Barbiero et al. | Supervised gene identification in colorectal cancer | |
Al-Ghafer et al. | NMF-guided feature selection and genetic algorithm-driven framework for tumor mutational burden classification in bladder cancer using multi-omics data | |
US20220215268A1 (en) | Sample analysis method and device based on kernel module in genomic module network | |
Wang et al. | Adaptation of a Mutual Exclusivity Framework to Identify Driver Mutations within Biological Pathways | |
Vasanthakumar et al. | A HYBRID ENSEMBLE METHOD FOR ACCURATE FUZZY AND SUPPORT VECTOR MACHINE FOR GENE EXPRESSION IN DATA MINING. | |
Tsai | Applications of Analytics in Disease Prediction Types | |
Guo et al. | Uncover spatially informed variations for single-cell spatial transcriptomics with STew | |
Zhou et al. | Cross-Cancer Genome Analysis on Cancer Classification Using Both Unsupervised and Supervised Approaches | |
Zhang | Bayesian Integrative Analysis Of Omics Data | |
Ahmad | Dissecting patient heterogeneity via statistical modeling based on multi-modal omics data |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |