Cancer Subtype Prediction from a Pathway-level Perspective by Using a Support Vector Machine based on Integrated Gene Expression and Protein Network

Gene expressions differ in different diseases, and cells affected by the same disease can have different gene expressions. Furthermore, distinguishing different disease types at a single location is difficult. Previous studies have reported distinguishing different disease types through clinical observations and by determining differences through pathological experiments [1, 2]. For example, brain tumors were classified according to the location of the tumor in the brain, type of tissues involved, and the original location of the tumor.

Source: Computer Methods and Programs in Biomedicine - January 19, 2017 Category: Bioinformatics Authors: Fei-Hung Hung, Hung-Wen Chiu Source Type: research