Meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles.

ABSTRACT:

Background

Identification of the cancer subtype plays a crucial role to provide an accurate diagnosis and proper treatment to improve the clinical outcomes of patients. Recent studies have shown that DNA methylation is one of the key factors for tumorigenesis and tumor growth, where the DNA methylation signatures have the potential to be utilized as cancer subtype-specific markers. However, due to the high dimensionality and the low number of DNA methylome cancer samples with the subtype information, still, to date, a cancer subtype classification method utilizing DNA methylome datasets has not been proposed.

Results

In this paper, we present meth-SemiCancer, a semi-supervised cancer subtype classification framework based on DNA methylation profiles. The proposed model was f

SUBMITTER: Choi JM 

PROVIDER: S-EPMC10131478 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature