A METHOD AND SYSTEM FOR GENE SIGNATURE MARKER SELECTION

    公开(公告)号:US20210158900A1

    公开(公告)日:2021-05-27

    申请号:US16624526

    申请日:2018-06-25

    摘要: A method (100) comprising: (i) providing (104, 106) a reference data set for a first gene expression platform and a training data set for a second platform; (iii) computing (108) a boundary expression level that distinguishes between the subtypes; (iv) generating (1 10) a confusion matrix; (v) determining (112) an effectiveness of the gene markers to discriminate between the subtypes; (vi) filtering (114) any gene marker with an expression level below a threshold or with determined effectiveness below a threshold; (v) calculating (118) a mean and/or median expression level for each subtype, and comparing them to generate an expression level change; (vi) comparing (118) the expression level change to a reference expression level change; and (vii) selecting (120) the gene marker if the generated expression level change and the reference expression level change are changed in the same direction; and (viii) providing (124) the selected gene markers via a user interface.

    Bayesian inference
    5.
    发明授权

    公开(公告)号:US11908549B2

    公开(公告)日:2024-02-20

    申请号:US16646187

    申请日:2018-09-21

    IPC分类号: G16B5/20 G16B40/00

    CPC分类号: G16B5/20 G16B40/00

    摘要: The invention relates to a computer-implemented Bayesian inference method for performing Bayesian inference in a Bayesian network, which includes a continuous child node (3) and its discrete parent node (2) having two states. Being provided with a calibrated continuous probability distribution of the observations of the child node (3) for each of the two states of the parent node (2), the inferring for a new observation of the child node (3) for which the state of the parent node (2) is not known of the probability of at least a first state of the parent node (2) makes use of masses of portions of the probability distributions that depend on a locational relationship of the probability distributions and the value of the new observation. This may ensure that the inferred probability of the first state of the parent node (2) monotonically changes with monotonically changing values of the new observation.

    Methods of prognosis in high-grade serous ovarian cancer

    公开(公告)号:US11674185B2

    公开(公告)日:2023-06-13

    申请号:US16864518

    申请日:2020-05-01

    IPC分类号: C12Q1/6886 C12Q1/6809

    摘要: The present application mainly relates to a method for determining a prognosis for a subject diagnosed with high-grade serous ovarian cancer. The method comprises determining the prognosis based on activities of at least two cellular signaling pathways including a phosphatidylinositide 3-kinase (PI3K) pathway and a nuclear factor-kappa B (NFkB or NFκB) pathway in a sample of the subject. The present application also relates to a method for identifying a subject diagnosed with high-grade serous ovarian cancer that will be suitable for a PI3K pathway targeting therapy or an NFkB pathway targeting therapy. The method comprises identifying the subject based on activities of at least two cellular signaling pathways including a PI3K pathway and an NFkB pathway in a sample of the subject. The present application further relates to corresponding apparatuses, non-transitory storage media, computer programs and kits.

    APPARATUS FOR DIAGNOSTIC IMAGE ACQUISITION DETERMINATION

    公开(公告)号:US20230028306A1

    公开(公告)日:2023-01-26

    申请号:US17777713

    申请日:2020-11-17

    IPC分类号: G06T7/00

    摘要: The present invention relates to an apparatus (10) for diagnostic image acquisition, comprising: an input unit (20); a processing unit (30); and an output unit (40). The input unit is configured to receive a data value relating to at least one biomarker in a measurement blood sample of a patient. The processing unit is configured to determine a time to acquire a diagnostic image of the patient, wherein the determination comprises utilization of the data value. The output unit is configured to output an indication of the time to acquire the diagnostic image of the patient.