Deciphering the effects of gene deletion on yeast longevity using network and machine learning approaches

Biochimie

Volumn 94, Issue 4, 2012, Pages 1017-1025

  Huang, Tao ^c,d   Zhang, Jian ^a   Xu, Zhong Ping ^h   Hu, Le Le ^b   Chen, Lei ^e,f   Shao, Jian Lin ^h   Zhang, Lei ^a   Kong, Xiang Yin ^g,h   Cai, Yu Dong ^b,f,i   Chou, Kuo Chen ⁱ  

^a Tongji University School of Medicine   (China)

^b SHANGHAI UNIVERSITY   (China)

^c Shanghai Jiao Tong University Affiliated Sixth People s Hospital   (China)

^d SHANGHAI CENTER FOR BIOINFORMATION TECHNOLOGY   (China)

^e SHANGHAI MARITIME UNIVERSITY   (China)

^f FUDAN UNIVERSITY   (China)

^g SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

^h SHANGHAI UNIVERSITY OF MEDICINE AND HEALTH SCIENCES   (China)

ⁱ GORDON LIFE SCIENCE INSTITUTE   (United States)

Author keywords

Feature selection; Gene deletion; Longevity; Machine learning; Protein network

Indexed keywords

ARTICLE; CELL FUNCTION; CHROMATIN; CONTROLLED STUDY; DNA MODIFICATION; GENE DELETION; GENE IDENTIFICATION; GENE SILENCING; LIFESPAN; LONGEVITY; MACHINE LEARNING; MITOCHONDRION; NETWORK LEARNING; NONHUMAN; PHENOTYPE; PHYSICAL CHEMISTRY; PREDICTION; SYSTEMS BIOLOGY; YEAST;

AGING; ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; CAENORHABDITIS ELEGANS; COMPUTER SIMULATION; GENE DELETION; GENES, FUNGAL; LONGEVITY; MICROBIAL VIABILITY; MODELS, GENETIC; SACCHAROMYCES CEREVISIAE;

EID: 84862792208     PISSN: 03009084     EISSN: 61831638     Source Type: Journal    
DOI: 10.1016/j.biochi.2011.12.024     Document Type: Article

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