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Abnormal tumour cell pathway identification method capable of overcoming signal distortion

A tumor cell and signal distortion technology, applied in the field of tumor cell marker detection

Inactive Publication Date: 2015-11-11
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for identifying abnormal pathways of tumor cells that overcomes signal distortion, avoids the shortcomings of existing methods for identifying abnormal pathways of tumor cells, uses non-negative matrix decomposition to realize the extraction and removal of correlated noise between pathways, and obtains real Pathway activity for more precise and reliable identification of abnormal pathways in tumor cells

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  • Abnormal tumour cell pathway identification method capable of overcoming signal distortion
  • Abnormal tumour cell pathway identification method capable of overcoming signal distortion
  • Abnormal tumour cell pathway identification method capable of overcoming signal distortion

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0045] Such as figure 1 As shown, a method for identifying abnormal pathways of tumor cells to overcome signal distortion, comprising the following steps:

[0046] S1. Use the non-negative matrix factorization algorithm to deconstruct the pathway of the gene expression spectrum image matrix to obtain the pathway expression spectrum matrix, which is specifically implemented by the following formula:

[0047] m i n W , H ( || E - W H || 2 + λ | W ...

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Abstract

The invention provides an abnormal tumour cell pathway identification method capable of overcoming signal distortion. The abnormal tumour cell pathway identification method comprises the following steps: performing pathway deconstruction of a gene expression profile image matrix by utilizing a non-negative matrix decomposition algorithm so as to obtain a pathway expression profile matrix; drawing an abnormal activity curved line of each pathway according to an operation characteristic curved line of a receiver and the pathway expression profile matrix; calculating an abnormal activity value of each pathway according to the abnormal activity curved line of each pathway; and comparing the abnormal activity value of each pathway with a pre-set threshold value, and taking the pathway as an abnormal tumour cell activity pathway when the abnormal activity value of the pathway is higher than the pre-set threshold value. According to the invention, distortion defects to pathway activity modelling in the traditional method are overcome; influence of pathway related noise to pathway activity evaluation is eliminated; the abnormal tumour cell pathway identification method has high precision, stability and reliability for detecting abnormal tumour cell pathways; and the abnormal tumour cell pathway identification method disclosed by the invention can be applicable to detecting and identifying drug targets in research and development of drugs and personalized medication.

Description

technical field [0001] The invention relates to the technical field of tumor cell marker detection, in particular to a method for identifying abnormal pathways of tumor cells that overcomes signal distortion. Background technique [0002] Tumor has become the "number one killer" of human beings, seriously threatening human health. Due to the complexity of living systems and the high heterogeneity of tumor cells, how to effectively diagnose and treat cancer is a worldwide problem. With the development of modern biotechnology, identifying and discovering tumor markers at the gene level has become the consensus of the current medical community. Genes in cells often perform specific biological functions in the form of a pathway structure (composed of multiple genes), which ultimately affects and determines the fate (phenotype) of cells, such as cancerous events in normal cells. These pathway modules essentially constitute a complex polygenic network. More and more medical stu...

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Application Information

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IPC IPC(8): G06F19/24
Inventor 王红强
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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