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.