Work

BEAMR: Bootstrap Evaluation of Association Matrices

Year: 2024

Type: dataset

Abstract: A bootstrap-based approach to integrate multiple forms of high dimensional genomic data with multiple clinical endpoints. This method is used to find clinically meaningful groups of genomic features, such as genes or pathways. A manuscript describing this method is in preparation.

DOI: 10.32614/cran.package.beamr

Authors: Anna Eames Seffernick, Stanley Pounds, Xueyuan Cao

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

OpenAlex ID: W4401063950

Cites:

Cited by:

Related to: 10