2008 |
22 | EE | John Hawkins,
Timothy L. Bailey:
The Statistical Power of Phylogenetic Motif Models.
RECOMB 2008: 112-126 |
21 | EE | Denis C. Bauer,
Timothy L. Bailey:
STREAM: Static Thermodynamic REgulAtory Model of transcription.
Bioinformatics 24(21): 2544-2545 (2008) |
2006 |
20 | EE | Mikael Bodén,
Zheng Yuan,
Timothy L. Bailey:
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures.
BMC Bioinformatics 7: 68 (2006) |
19 | EE | Stefan M. Stanley,
Timothy L. Bailey,
John S. Mattick:
GONOME: measuring correlations between GO terms and genomic positions.
BMC Bioinformatics 7: 94 (2006) |
18 | EE | Mikael Bodén,
Timothy L. Bailey:
Identifying sequence regions undergoing conformational change via predicted continuum secondary structure.
Bioinformatics 22(15): 1809-1814 (2006) |
17 | EE | Timothy L. Bailey,
Nadya Williams,
Chris Misleh,
Wilfred W. Li:
MEME: discovering and analyzing DNA and protein sequence motifs.
Nucleic Acids Research 34(Web-Server-Issue): 369-373 (2006) |
2003 |
16 | | Timothy L. Bailey,
William Stafford Noble:
Searching for statistically significant regulatory modules.
ECCB 2003: 16-25 |
15 | | Timothy L. Bailey,
Michael Gribskov:
Estimating and Evaluating the Statistics of Gapped Local-Alignment Scores.
Journal of Computational Biology 9(3): 575-596 (2003) |
2000 |
14 | | Timothy L. Bailey,
Michael Gribskov:
Concerning the accuracy of MAST E-values.
Bioinformatics 16(5): 488-489 (2000) |
1999 |
13 | EE | Timothy L. Bailey,
William Noble Grundy:
Classifying proteins by family using the product of correlated p-values.
RECOMB 1999: 10-14 |
12 | | Timothy L. Bailey,
Michael E. Baker,
Charles Elkan,
William Noble Grundy:
MEME, MAST, and Meta-MEME: New Tools for Motif Discovery in Protein Sequences.
Pattern Discovery in Biomolecular Data 1999: 30-54 |
11 | | William Noble Grundy,
Timothy L. Bailey:
Family pairwise search with embedded motif models.
Bioinformatics 15(6): 463-470 (1999) |
1998 |
10 | | Timothy L. Bailey,
Michael Gribskov:
Combining evidence using p-values: application to sequence homology searches.
Bioinformatics 14(1): 48-54 (1998) |
9 | | Timothy L. Bailey,
Michael Gribskov:
Methods and Statistics for Combining Motif Match Scores.
Journal of Computational Biology 5(2): 211-222 (1998) |
1997 |
8 | | William Noble Grundy,
Timothy L. Bailey,
Charles Elkan,
Michael E. Baker:
Meta-MEME: motif-based hidden Markov models of protein families.
Computer Applications in the Biosciences 13(4): 397-406 (1997) |
7 | | Timothy L. Bailey,
Michael Gribskov:
Score Distributions for Simultaneous Matching to Multiple Motifs.
Journal of Computational Biology 4(1): 45-60 (1997) |
1996 |
6 | | Timothy L. Bailey,
Michael Gribskov:
The Megaprior Heuristic for Discovering Protein Sequence Patterns.
ISMB 1996: 15-24 |
5 | | William Noble Grundy,
Timothy L. Bailey,
Charles Elkan:
ParaMEME: a parallel implementation and a web interface for a DNA and protein motif discovery tool.
Computer Applications in the Biosciences 12(4): 303-310 (1996) |
1995 |
4 | | Timothy L. Bailey,
Charles Elkan:
The Value of Prior Knowledge in Discovering Motifs with MEME.
ISMB 1995: 21-29 |
3 | | Timothy L. Bailey,
Charles Elkan:
Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization.
Machine Learning 21(1-2): 51-80 (1995) |
1994 |
2 | | Timothy L. Bailey,
Charles Elkan:
Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer.
ISMB 1994: 28-36 |
1993 |
1 | | Timothy L. Bailey,
Charles Elkan:
Estimating the Accuracy of Learned Concepts.
IJCAI 1993: 895-901 |