CN104508671A - 用于通过集成的偏差校正和分类预测生成生物标记签名的系统和方法 - Google Patents
用于通过集成的偏差校正和分类预测生成生物标记签名的系统和方法 Download PDFInfo
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- CN104508671A CN104508671A CN201380039806.5A CN201380039806A CN104508671A CN 104508671 A CN104508671 A CN 104508671A CN 201380039806 A CN201380039806 A CN 201380039806A CN 104508671 A CN104508671 A CN 104508671A
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Abstract
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Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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US201261662792P | 2012-06-21 | 2012-06-21 | |
US61/662,792 | 2012-06-21 | ||
PCT/EP2013/062980 WO2013190084A1 (en) | 2012-06-21 | 2013-06-21 | Systems and methods for generating biomarker signatures with integrated bias correction and class prediction |
Publications (2)
Publication Number | Publication Date |
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CN104508671A true CN104508671A (zh) | 2015-04-08 |
CN104508671B CN104508671B (zh) | 2018-10-19 |
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CN201380039806.5A Active CN104508671B (zh) | 2012-06-21 | 2013-06-21 | 通过偏差校正和分类预测生成生物标记签名的系统和方法 |
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US (1) | US10339464B2 (zh) |
EP (1) | EP2864920B1 (zh) |
JP (1) | JP6253644B2 (zh) |
CN (1) | CN104508671B (zh) |
CA (1) | CA2877429C (zh) |
HK (1) | HK1209203A1 (zh) |
WO (1) | WO2013190084A1 (zh) |
Cited By (10)
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CN106503386A (zh) * | 2016-11-07 | 2017-03-15 | 上海思源弘瑞自动化有限公司 | 评估光功率预测算法性能优劣的方法及装置 |
CN108805168A (zh) * | 2017-05-04 | 2018-11-13 | 唯亚威通讯技术有限公司 | 近红外光谱学和机器学习技术进行的制造过程的端点检测 |
CN109934341A (zh) * | 2017-11-13 | 2019-06-25 | 埃森哲环球解决方案有限公司 | 训练、验证以及监测人工智能和机器学习的模型 |
CN109993047A (zh) * | 2017-12-28 | 2019-07-09 | 杭州海康威视系统技术有限公司 | 城市乱堆物料的违规识别方法、装置及电子设备 |
CN110320197A (zh) * | 2018-03-31 | 2019-10-11 | 重庆大学 | 基于Raman光谱分析的微小型拉曼血液专用分析仪 |
CN111095232A (zh) * | 2017-07-18 | 2020-05-01 | 生命分析有限公司 | 发掘用于机器学习技术中的基因组 |
CN111652095A (zh) * | 2020-05-21 | 2020-09-11 | 骏实生物科技(上海)有限公司 | 一种基于人工智能的ctc图像识别方法和系统 |
CN112368774A (zh) * | 2018-07-27 | 2021-02-12 | 无限生物制药公司 | 用于预测受试物质在人类中作用的人工智能模型 |
CN112465152A (zh) * | 2020-12-03 | 2021-03-09 | 中国科学院大学宁波华美医院 | 一种适用于情绪脑-机接口的在线迁移学习方法 |
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2013
- 2013-06-21 WO PCT/EP2013/062980 patent/WO2013190084A1/en active Application Filing
- 2013-06-21 CN CN201380039806.5A patent/CN104508671B/zh active Active
- 2013-06-21 EP EP13733985.9A patent/EP2864920B1/en active Active
- 2013-06-21 US US14/409,681 patent/US10339464B2/en active Active
- 2013-06-21 CA CA2877429A patent/CA2877429C/en active Active
- 2013-06-21 JP JP2015517783A patent/JP6253644B2/ja active Active
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- 2015-10-08 HK HK15109834.4A patent/HK1209203A1/zh not_active IP Right Cessation
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HK1209203A1 (zh) | 2016-03-24 |
CA2877429C (en) | 2020-11-03 |
US10339464B2 (en) | 2019-07-02 |
US20150178639A1 (en) | 2015-06-25 |
EP2864920B1 (en) | 2023-05-10 |
EP2864920A1 (en) | 2015-04-29 |
CN104508671B (zh) | 2018-10-19 |
JP2015525413A (ja) | 2015-09-03 |
WO2013190084A1 (en) | 2013-12-27 |
JP6253644B2 (ja) | 2017-12-27 |
CA2877429A1 (en) | 2013-12-27 |
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