A unified adaptive co-identification framework for high-D expression data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7632 LNBI, Issue , 2012, Pages 59-70

  Zhang, Shuzhong ^a   Wang, Kun ^c   Ashby, Cody ^c   Chen, Bilian ^b   Huang, Xiuzhen ^c  

^a UNIVERSITY OF MINNESOTA   (United States)

^b XIAMEN UNIVERSITY   (China)

^c ARKANSAS STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARABIDOPSIS; CO-CLUSTERING; COMPUTATIONAL FRAMEWORK; DATA SETS; DEVELOPMENT STAGES; EXPRESSION DATA; GENE EXPRESSION DATA; GENERIC OPTIMIZATION; HIGH-DIMENSIONAL; HIGH-THROUGHPUT TECHNIQUE; OPTIMIZATION METHOD; TESTING RESULTS;

FUNCTIONAL GROUPS; GENE EXPRESSION; PATTERN RECOGNITION; TISSUE;

BIOINFORMATICS;

EID: 84868708561     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34123-6_6     Document Type: Conference Paper

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