Using Knowledge-fused Differential Dependency Network (KDDN) simulation to exploit the link between cancer, aging, & metabolism

Autor:	Arvin M. Gouw, George A. Brooks, Rita Barakat, Steve A. Garan, Andrew Preecha, Gizem Efe
Rok vydání:	2017
Předmět:	Aging Exploit Cancer Cell Biology Computational biology Biology Bioinformatics medicine.disease Biochemistry Dependency network Endocrinology Genetics medicine Link (knot theory) Molecular Biology Differential (mathematics)
Zdroj:	Experimental Gerontology. 94:117-118
ISSN:	0531-5565
DOI:	10.1016/j.exger.2017.02.039
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fc931a239f1c8dc8486783f1c2ae4ab8 https://doi.org/10.1016/j.exger.2017.02.039 Zobrazit plný text záznamu Full Text from ScienceDirect