New algorithm improves gene expression marker identification across diverse biological systems
Researchers have developed a new computational approach that enables more accurate selection of genes that characterize different cellular states from mRNA-seq data, offering a more interpretable way to analyze complex biological data. The study, published in Frontiers in Immunology, involved resear...
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Researchers have developed a new computational approach that enables more accurate selection of genes that characterize different cellular states from mRNA-seq data, offering a more interpretable way to analyze complex biological data. The study, published in Frontiers in Immunology, involved researchers from the Germans Trias i Pujol Research Institute (IGTP), Universitat Politècnica de Catalunya (UPC), IrsiCaixa and the Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD).
Originally published at Phys.org
