Machine Learning-Based Identification of Colon Cancer Candidate Diagnostics Genes.

ABSTRACT:

Background

Colorectal cancer (CRC) is the third leading cause of cancer-related death and the fourth most commonly diagnosed cancer worldwide. Due to a lack of diagnostic biomarkers and understanding of the underlying molecular mechanisms, CRC's mortality rate continues to grow. CRC occurrence and progression are dynamic processes. The expression levels of specific molecules vary at various stages of CRC, rendering its early detection and diagnosis challenging and the need for identifying accurate and meaningful CRC biomarkers more pressing. The advances in high-throughput sequencing technologies have been used to explore novel gene expression, targeted treatments, and colon cancer pathogenesis. Such approaches are routinely being applied and result in large datasets whose analysis

SUBMITTER: Koppad S 

PROVIDER: S-EPMC8944988 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature