Transcription factor expression as a predictor of colon cancer prognosis: a machine learning practice.

ABSTRACT:

Background

Colon cancer is one of the leading causes of cancer deaths in the USA and around the world. Molecular level characters, such as gene expression levels and mutations, may provide profound information for precision treatment apart from pathological indicators. Transcription factors function as critical regulators in all aspects of cell life, but transcription factors-based biomarkers for colon cancer prognosis were still rare and necessary.

Methods

We implemented an innovative process to select the transcription factors variables and evaluate the prognostic prediction power by combining the Cox PH model with the random forest algorithm. We picked five top-ranked transcription factors and built a prediction model by using Cox PH regression. Using Kaplan-Meier analysi

SUBMITTER: Liu J 

PROVIDER: S-EPMC7504662 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature