Identification of miRNA biomarkers for breast cancer by combining ensemble regularized multinomial logistic regression and Cox regression.

ABSTRACT:

Background

Breast cancer is one of the most common cancers in women. It is necessary to classify breast cancer subtypes because different subtypes need specific treatment. Identifying biomarkers and classifying breast cancer subtypes is essential for developing appropriate treatment methods for patients. MiRNAs can be easily detected in tumor biopsy and play an inhibitory or promoting role in breast cancer, which are considered promising biomarkers for distinguishing subtypes.

Results

A new method combing ensemble regularized multinomial logistic regression and Cox regression was proposed for identifying miRNA biomarkers in breast cancer. After adopting stratified sampling and bootstrap sampling, the most suitable sample subset for miRNA feature screening was determined via

SUBMITTER: Li J 

PROVIDER: S-EPMC9580207 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature