Japan Science and Technology Agency

Luonan Chen

Kazuyuki Aihara

Rui Liu

Meiyi Li

Xiaoping Liu

Zhiping Liu

Provided is a method for detecting a biomarker indicating states of a target biological system based on data acquired by measuring the target biological system. The method includes the steps of: preparing a reference dataset based on data acquired from one or more reference biological systems; generating a target dataset by adding, to the reference dataset, target biological data acquired from the target biological system; acquiring first correlation coefficients between a plurality of factor items in the reference dataset; acquiring second correlation coefficients between the plurality of factor items in the target dataset; acquiring difference correlation coefficients that are differences between the first correlation coefficients and the second correlation coefficients; acquiring indexes respectively for the plurality of factor items based on the difference correlation coefficients; and selecting the biomarker based on the indexes.

Biomarker detection method, disease assessment method, biomarker detection device, and computer readable medium

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 (s), a process of choosing differential biological molecules (s), a process of clustering (s), a process of choosing a DNB candidate (s), and a process of identifying a DNB by significance analysis (s) are carried out.

Device for detecting a dynamical network biomarker, method for detecting same, and program for detecting same

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 (s), a process of selecting differential biological molecules (s), a process of calculating the SNE of a local network (s), a process of selecting a biomarker candidate (s), a process of calculating an average SNE across the entire network (s), and a process of determining and detecting whether or not the system is in a pre-disease state (s).

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Kobe, Japan

Luonan Chen