CN112840402A - 获得细胞内确定性事件的方法及电子设备 - Google Patents
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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。
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Publication number | Priority date | Publication date | Assignee | Title |
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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 CN CN201980001864.6A patent/CN112840402B/zh active Active
- 2019-09-02 WO PCT/CN2019/104007 patent/WO2021042237A1/zh active Application Filing
- 2019-09-02 US US17/639,726 patent/US20220293213A1/en active Pending
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 |
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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 |
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