GFPrint™: A machine learning tool for transforming genetic data into clinical insights.

ABSTRACT: The increasing availability of massive genetic sequencing data in the clinical setting has triggered the need for appropriate tools to help fully exploit the wealth of information these data possess. GFPrint™ is a proprietary streaming algorithm designed to meet that need. By extracting the most relevant functional features, GFPrint™ transforms high-dimensional, noisy genetic sequencing data into an embedded representation, allowing unsupervised models to create data clusters that can be re-mapped to the original clinical information. Ultimately, this allows the identification of genes and pathways relevant to disease onset and progression. GFPrint™ has been tested and validated using two cancer genomic datasets publicly available. Analysis of the TCGA dataset has identified panels of gene

SUBMITTER: Sanz-Martin G 

PROVIDER: S-EPMC11602062 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature