公开(公告)号：US20150278433A1

公开(公告)日：2015-10-01

申请号：US14430724

申请日：2013-02-12

申请人： Kazuyuki AIHARA ,  Luonan CHEN ,  Rui LIU ,  Zhiping LIU ,  Meiyi LI ,  Japan Science and Technology Agency

发明人： Kazuyuki Aihara ,  Luonan Chen ,  Rui Liu ,  Zhiping Liu ,  Meiyi Li

IPC分类号： G06F19/18 ,  G06F19/22

CPC分类号： G16B20/00 ,  G16B30/00 ,  G16B40/00

摘要： The present invention provides a device, method, and program for detection of a biomarker candidate that may be used in a diagnosis of a pre-disease state indicating a transition from a healthy state to a disease state. Biological samples are collected from a subject to be measured at different times. Statistical data is obtained by aggregating measurement data obtained in measurement on collected biological samples. Thereafter, a process of obtaining high-throughput data (s1), a process of choosing differential biological molecules (s2), a process of clustering (s3), a process of choosing a DNB candidate (s4), and a process of identifying a DNB by significance analysis (s5) are carried out.

摘要翻译： 本发明提供了用于检测可用于诊断疾病状态的生物标志物候选物的装置，方法和程序，其指示从健康状态向疾病状态的转变。 从不同时间测量的受试者收集生物样品。 通过聚集在收集的生物样品上测量中获得的测量数据获得统计数据。 此后，获得高通量数据（s1），选择差分生物分子的过程（s2），聚类过程（s3），选择DNB候选的过程（s4）的过程以及识别 通过显着性分析（s5）进行DNB。

公开(公告)号：US11328792B2

公开(公告)日：2022-05-10

申请号：US14430724

申请日：2013-02-12

申请人： Japan Science and Technology Agency

发明人： Kazuyuki Aihara ,  Luonan Chen ,  Rui Liu ,  Zhiping Liu ,  Meiyi Li

IPC分类号： G01N33/48 ,  G01N33/50 ,  G16B20/20 ,  G16B20/00 ,  G16B30/00 ,  G16B40/00 ,  G16B20/10

摘要： The present invention provides a device, method, and program for detection of a biomarker candidate that may be used in a diagnosis of a pre-disease state indicating a transition from a healthy state to a disease state. Biological samples are collected from a subject to be measured at different times. Statistical data is obtained by aggregating measurement data obtained in measurement on collected biological samples. Thereafter, a process of obtaining high-throughput data (s1), a process of choosing differential biological molecules (s2), a process of clustering (s3), a process of choosing a DNB candidate (s4), and a process of identifying a DNB by significance analysis (s5) are carried out.