Recognizing Pattern and Rule of Mutation Signatures Corresponding to Cancer Types.

ABSTRACT: Cancer has been generally defined as a cluster of systematic malignant pathogenesis involving abnormal cell growth. Genetic mutations derived from environmental factors and inherited genetics trigger the initiation and progression of cancers. Although several well-known factors affect cancer, mutation features and rules that affect cancers are relatively unknown due to limited related studies. In this study, a computational investigation on mutation profiles of cancer samples in 27 types was given. These profiles were first analyzed by the Monte Carlo Feature Selection (MCFS) method. A feature list was thus obtained. Then, the incremental feature selection (IFS) method adopted such list to extract essential mutation features related to 27 cancer types, find out 207 mutation rules and const

SUBMITTER: Chen L 

PROVIDER: S-EPMC8427289 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature