CoD: inferring immune-cell quantities related to disease states

• DOI: 10.1093/bioinformatics/btv498
• Publication Date: 2015-08-28T00:18:54Z
• Authors: Amit Frishberg; Yael Steuerman; Irit Gat-Viks
• Keywords: Cell type

Abstract Motivation: The immune system comprises a complex network of genes, cells and tissues, coordinated through signaling pathways cell−cell communications. However, the orchestrated role multiple immunological components in disease is still poorly understood. Classifications based on gene-expression data have revealed immune-related various diseases, but how such describe cellular physiology remains largely unknown. Results: We identify alterations cell quantities discriminating between states using ‘ Cell type Disease’ (CoD), classification-based approach that relies computational immune-cell decomposition datasets. CoD attains significantly higher accuracy than alternative state-of-the-art methods. Our shown to recapitulate extend previous knowledge acquired with experimental cell-quantification technologies. Conclusions: results suggest can reveal disease-relevant types an unbiased manner, potentially heralding improved diagnostics treatment. Availability implementation: software described this article available at http://www.csgi.tau.ac.il/CoD/. Contact: [e-mail] Supplementary information: are Bioinformatics online.