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American Journal of Obstetrics and Gynecology|September 25, 2001
A high-throughput study of gene expression in preterm labor with a subtractive microarray approachR A Muhle, P Pavlidis, W N Grundy, et al.Bioinformatics (Oxford, England)|April 1, 1998
Combining evidence using p-values: application to sequence homology searchesT L Bailey, M GribskovProceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1994
Fitting a mixture model by expectation maximization to discover motifs in biopolymersT L Bailey, C ElkanProceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1996
The megaprior heuristic for discovering protein sequence patternsT L Bailey, M GribskovJournal of Computational Biology : a Journal of Computational Molecular Cell Biology|April 1, 1997
Score distributions for simultaneous matching to multiple motifsT L Bailey, M GribskovJournal of Computational Biology : a Journal of Computational Molecular Cell Biology|July 22, 1998
Methods and statistics for combining motif match scoresT L Bailey, M GribskovProceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1995
The value of prior knowledge in discovering motifs with MEMET L Bailey, C ElkanPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 27, 2001
Promoter region-based classification of genesP Pavlidis, T S Furey, M Liberto, et al.The Journal of Steroid Biochemistry and Molecular Biology|May 1, 1997
An artificial intelligence approach to motif discovery in protein sequences: application to steriod dehydrogenasesT L Bailey, M E Baker, C P ElkanProceedings of the National Academy of Sciences of the United States of America|January 5, 2000
Knowledge-based analysis of microarray gene expression data by using support vector machinesM P Brown, W N Grundy, D Lin, et al.Pageof 4