A hidden Markov model for gene function prediction from sequential expression data

Proceedings - 2004 IEEE Computational Systems Bioinformatics Conference, CSB 2004

Volumn , Issue , 2004, Pages 670-671

  Deng, Xutao ^a   Ali, Hesham ^a  

^a UNIVERSITY OF NEBRASKA AT OMAHA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSIONS; GENE FUNCTIONS; HIDDEN MARKOV MODELS (HMM); PROTEIN SEQUENCES;

GENES; GENETIC ENGINEERING; LEARNING SYSTEMS; MATHEMATICAL MODELS; PROBABILITY; PROBABILITY DENSITY FUNCTION; PROTEINS; SENSITIVITY ANALYSIS; SPEECH RECOGNITION; YEAST;

MARKOV PROCESSES;

EID: 14044278130     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (2)

1. M.P.S. Brown, W.N. Grundy, D. Lin, N. Cristianini, C. Sugnet, T.S. Furey, Jr. M. Ares, and D. Haussler. Knowledge-based analysis of microarray gene expression data using support vector machines. PNAS, 97(1):262-267, 2000.
2. Mewes HW, Frishman D, Güldener U, Mannhaupt G, Mayer K, Mokrejs M, Morgenstern B, Münsterkoetter M, Rudd S, Weil B MIPS: a database for genomes and protein sequences. Nucleic Acids Research Jan 1;30(1):31-4, 2002.