Subtype-MGTP: a cancer subtype identification framework based on multi-omics translation.

ABSTRACT:

Motivation

The identification of cancer subtypes plays a crucial role in cancer research and treatment. With the rapid development of high-throughput sequencing technologies, there has been an exponential accumulation of cancer multi-omics data. Integrating multi-omics data has emerged as a cost-effective and efficient strategy for cancer subtyping. While current methods primarily rely on genomics data, protein expression data offers a closer representation of phenotype. Therefore, integrating protein expression data holds promise for enhancing subtyping accuracy. However, the scarcity of protein expression data compared to genomics data presents a challenge in its direct incorporation into existing methods. Moreover, striking a balance between omics-specific learning and cross-omi

SUBMITTER: Xie M 

PROVIDER: S-EPMC11194476 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature