公开(公告)号：US10378061B2

公开(公告)日：2019-08-13

申请号：US14678108

申请日：2015-04-03

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jongsuk Chung ,  Tae Jin Ahn ,  Dae-Soon Son ,  Eunjin Lee

IPC: C12Q1/68 ,  C12P19/34 ,  C12Q1/6886

Abstract: A method of predicting an effect of an anti-c-Met antibody and/or selecting a subject for application of an anti-c-Met antibody including measuring a level of the biomarker in a biological sample, is provided.

公开(公告)号：US20150284808A1

公开(公告)日：2015-10-08

申请号：US14678108

申请日：2015-04-03

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jongsuk Chung ,  Tae Jin Ahn ,  Dae-Soon Son ,  Eunjin Lee

IPC: C12Q1/68

CPC classification number: C12Q1/6886 ,  C12Q2600/106 ,  C12Q2600/158 ,  C12Q2600/16 ,  C12Q2600/166

Abstract: A method of predicting an effect of an anti-c-Met antibody and/or selecting a subject for application of an anti-c-Met antibody including measuring a level of the biomarker in a biological sample, is provided.

Abstract translation: 提供了预测抗c-Met抗体的效果和/或选择用于施用抗c-Met抗体的受试者的方法，包括测量生物标记物的水平在生物样品中。

公开(公告)号：US20150154348A1

公开(公告)日：2015-06-04

申请号：US14521028

申请日：2014-10-22

Applicant: Samsung Electronics Co., Ltd.

Inventor： Daesoon Son ,  Taejin Ahn ,  Eunjin Lee ,  Jongsuk Chung

IPC: G06F19/18

CPC classification number: G16B20/00

Abstract: A method and apparatus for analyzing genetic data of a subject generates a plurality of bootstrap data sets having binary response variables related to a specific response from the genetic data; determines a first bootstrap data set that represents the bootstrap data sets, based on distributions of the binary response variables; generates permutation null distributions by permutating the first bootstrap data set P (where P is a natural number) times; and calculates an empirical power of the bootstrap data sets by testing respective levels of significance of the bootstrap data sets based on the permutation null distributions.

Abstract translation: 用于分析对象的遗传数据的方法和装置产生具有与遗传数据的特定响应相关的二进制响应变量的多个引导数据集; 基于二进制响应变量的分布，确定表示引导数据集的第一引导数据集; 通过将第一自举数据集P（其中P是自然数）置换为次数来生成置换空分布; 并且通过基于置换空分布测试引导数据集的有效级别来计算引导数据集的经验力。