Few-shot genes selection: subset of PAM50 genes for breast cancer subtypes classification.

ABSTRACT:

Background

In recent years, researchers have made significant strides in understanding the heterogeneity of breast cancer and its various subtypes. However, the wealth of genomic and proteomic data available today necessitates efficient frameworks, instruments, and computational tools for meaningful analysis. Despite its success as a prognostic tool, the PAM50 gene signature's reliance on many genes presents challenges in terms of cost and complexity. Consequently, there is a need for more efficient methods to classify breast cancer subtypes using a reduced gene set accurately.

Results

This study explores the potential of achieving precise breast cancer subtype categorization using a reduced gene set derived from the PAM50 gene signature. By employing a "Few-Shot Genes Selec

SUBMITTER: Okimoto LYS 

PROVIDER: S-EPMC10908178 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature