Molecular characterization of human T helper cell subsets using integrated analysis of multiple omics levels

Autor:	Krause, L, Eyerich, S, Theis, FJ, Mueller, NS
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	T helper cells immune system feature selection machine learning ddc: 610 biochemical phenomena metabolism and nutrition 610 Medical sciences Medicine data integration multi omics clustering differential gene expression analysis
Zdroj:	64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 20190908-20190911; Dortmund; DOCAbstr. 313 /20190906/
DOI:	10.3205/19gmds071
Popis:	T helper cells play an important role in our adaptive immune system and if their regulation is out of balance, it leads to complex diseases. They coordinate adaptive immune responses by secretion of small proteins, so-called cytokines. As the body is attacked by diverse pathogens, they have specialized[for full text, please go to the a.m. URL] 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8bdbe0ae21463682447baab7c068c85 Zobrazit plný text záznamu