Fakultät für Informatik
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Technische Universität München
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Clustered alignments of gene-expression time series data
Adam A. Smith
,
Aaron Vollrath
,
Christopher A. Bradfield
,
Mark Craven
Bioinformatics
25
(12), 2009, pp. 119-127
Learning probabilistic models of cis-regulatory modules that represent logical and spatial aspects
Keith Noto
,
Mark Craven
Bioinformatics
23
(2), 2007, pp. 156-162
Connecting quantitative regulatory-network models to the genome
Yue Pan
,
Tim Durfee
,
Joseph Bockhorst
,
Mark Craven
Bioinformatics
23
(13), 2007, pp. 367-376
Learning regulatory network models that represent regulator states and roles
Keith Noto
,
Mark Craven
LNCS/LNBI
3318
, 2005, pp. 52-64
A Bayesian network approach to operon prediction
Joseph Bockhorst
,
Mark Craven
,
David Page
,
Jude Shavlik
,
Jeremy Glasner
Bioinformatics
19
(10), 2003, pp. 1227-1235
Predicting bacterial transcription units using sequence and expression data
Joseph Bockhorst
,
Yu Qiu
,
Jeremy Glasner
,
Mingzhu Liu
,
Frederick Blattner
,
Mark Craven
Bioinformatics
19
(S1), 2003, pp. 34-43
A probabilistic learning approach to whole-genome operon prediction
Mark Craven
,
David Page
,
Jude Shavlik
,
Joseph Bockhorst
,
Jeremy Glasner
Proceedings of the 8th International Conference on Intelligent Systems for Molecular Biology, ISMB'2000 (La Jolla, California, August 16-23, 2000)
, 2000, pp. 116-127
Constructing biological knowldge bases by extracting information from text sources
Mark Craven
,
Johan Kumlien
Proceedings of the 7th International Conference on Intelligent Systems for Molecular Biology, ISMB'99 (Heidelberg, Germany, August 6-10, 1999)
, 1999, pp. 77-86
Predicting protein folding classes without overly relying on homology
Mark W. Craven
,
Richard J. Mural
,
Loren J. Hauser
,
Edward C. Uberbacher
Proceedings of the 3rd International Conference on Intelligent Systems for Molecular Biology, ISMB'95 (Cambridge, England, July 16-19, 1995)
, 1995, pp. 98-106