公开(公告)号：US10431341B2

公开(公告)日：2019-10-01

申请号：US14437650

申请日：2013-10-15

Applicant: Japan Science and Technology Agency

Inventor： Kazuyuki Aihara ,  Luonan Chen ,  Rui Liu

IPC: G01N33/48 ,  G01N33/50 ,  G16H50/30 ,  G16B5/00 ,  A61B5/00 ,  G06Q50/24

Abstract: The invention provides a detection device, method, and program capable of highly accurately detecting a pre-disease state that indicates a precursor to a state transition from a healthy state to a disease state. The following processes are carried out: a process of obtaining measured data on genes, proteins, etc. related to a biological object as high-throughput data (s1), a process of selecting differential biological molecules (s2), a process of calculating the SNE of a local network (s3), a process of selecting a biomarker candidate (s4), a process of calculating an average SNE across the entire network (s5), and a process of determining and detecting whether or not the system is in a pre-disease state (s6).

公开(公告)号：US20150302165A1

公开(公告)日：2015-10-22

申请号：US14437650

申请日：2013-10-15

Applicant: Japan Science and Technology Agency

Inventor： Kazuyuki Aihara ,  Luonan Chen ,  Rui Liu

IPC: G06F19/00 ,  G06F19/12

CPC classification number: G16H50/30 ,  A61B5/7264 ,  G06Q50/24 ,  G16B5/00

Abstract: The invention provides a detection device, method, and program capable of highly accurately detecting a pre-disease state that indicates a precursor to a state transition from a healthy state to a disease state. The following processes are carried out: a process of obtaining measured data on genes, proteins, etc. related to a biological object as high-throughput data (s1), a process of selecting differential biological molecules (s2), a process of calculating the SNE of a local network (s3), a process of selecting a biomarker candidate (s4), a process of calculating an average SNE across the entire network (s5), and a process of determining and detecting whether or not the system is in a pre-disease state (s6).

Abstract translation: 本发明提供一种检测装置，方法和程序，其能够高度准确地检测指示状态从健康状态转变到疾病状态的前兆的疾病前状态。 进行以下处理：获取与生物体相关的基因，蛋白质等的测定数据作为高通量数据（s1）的过程，选择差异生物分子的过程（s2），计算 本地网络的SNE（s3），选择生物标记候选者的过程（s4），计算整个网络的平均SNE的处理（s5）以及确定和检测系统是否处于 疾病前状态（s6）。

公开(公告)号：US20150278433A1

公开(公告)日：2015-10-01

申请号：US14430724

申请日：2013-02-12

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

Inventor： Kazuyuki Aihara ,  Luonan Chen ,  Rui Liu ,  Zhiping Liu ,  Meiyi Li

IPC: G06F19/18 ,  G06F19/22

CPC classification number: G16B20/00 ,  G16B30/00 ,  G16B40/00

Abstract: 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.

Abstract translation: 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

Applicant: Japan Science and Technology Agency

Inventor： Kazuyuki Aihara ,  Luonan Chen ,  Rui Liu ,  Zhiping Liu ,  Meiyi Li

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

Abstract: 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.