CoD: inferring immune-cell quantities related to disease states | Zendy

Amit Frishberg | Zendy; Yael Steuerman | Zendy; Irit GatViks | Zendy

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CoD: inferring immune-cell quantities related to disease states

Author(s) -

Amit Frishberg,

Yael Steuerman,

Irit GatViks

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv498

Subject(s) - immune system , computational biology , cell , biology , disease , cell type , gene , signal transduction , gene expression , bioinformatics , immunology , genetics , medicine , pathology

The immune system comprises a complex network of genes, cells and tissues, coordinated through signaling pathways and cell-cell communications. However, the orchestrated role of the multiple immunological components in disease is still poorly understood. Classifications based on gene-expression data have revealed immune-related signaling pathways in various diseases, but how such pathways describe the immune cellular physiology remains largely unknown.

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