9. ISMB 2001:
Copenhagen,
Denmark (Supplement of Bioinformatics)
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, July 21-25, 2001, Copenhagen, Denmark.
2001 
@proceedings{DBLP:conf/ismb/2001,
title = {Proceedings of the Ninth International Conference on Intelligent
Systems for Molecular Biology, July 21-25, 2001, Copenhagen,
Denmark},
booktitle = {ISMB (Supplement of Bioinformatics)},
year = {2001},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
- Søren Brunak, Anders Krogh:
ISMB 2001.
1-4
- Ezekiel F. Adebiyi, Tao Jiang, Michael Kaufmann:
An efficient algorithm for finding short approximate non-tandem repeats.
5-12
- Vineet Bafna, Nathan Edwards:
SCOPE: a probabilistic model for scoring tandem mass spectra against a peptide database.
13-21
- Ziv Bar-Joseph, David K. Gifford, Tommi Jaakkola:
Fast optimal leaf ordering for hierarchical clustering.
22-29
- Mathieu Blanchette, Saurabh Sinha:
Separating real motifs from their artifacts.
30-38
- James Borneman, Marek Chrobak, Gianluca Della Vedova, Andres Figueroa, Tao Jiang:
Probe selection algorithms with applications in the analysis of microbial communities.
39-48
- Derek Y. Chiang, Patrick O. Brown, Michael B. Eisen:
Visualizing associations between genome sequences and gene expression data using genome-mean expression profiles.
49-55
- John S. Chuang, Dan Roth:
Gene recognition based on DAG shortest paths.
56-64
- Eleazar Eskin, William Noble Grundy, Yoram Singer:
Using mixtures of common ancestors for estimating the probabilities of discrete events in biological sequences.
65-73
- Carol Friedman, Pauline Kra, Hong Yu, Michael Krauthammer, Andrey Rzhetsky:
GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles.
74-82
- Gordana Apic, Julian Gough, Sarah A. Teichmann:
An insight into domain combinations.
83-89
- Sridhar Hannenhalli, Samuel Levy:
Promoter prediction in the human genome.
90-96
- Vasileios Hatzivassiloglou, Pablo Ariel Duboué, Andrey Rzhetsky:
Disambiguating proteins, genes, and RNA in text: a machine learning approach.
97-106
- Anja von Heydebreck, Wolfgang Huber, Annemarie Poustka, Martin Vingron:
Identifying splits with clear separation: a new class discovery method for gene expression data.
107-114
- Lawrence Hunter, Ronald C. Taylor, Sonia M. Leach, Richard Simon:
GEST: a gene expression search tool based on a novel Bayesian similarity metric.
115-122
- Dirk Husmeier, Frank Wright:
Probabilistic divergence measures for detecting interspecies recombination.
123-131
- Daniel H. Huson, Knut Reinert, Saul A. Kravitz, Karin A. Remington, Arthur L. Delcher, Ian M. Dew, Michael Flanigan, Aaron L. Halpern, Zhongwu Lai, Clark M. Mobarry, Granger G. Sutton, Eugene W. Myers:
Design of a compartmentalized shotgun assembler for the human genome.
132-139
- Ian Korf, Paul Flicek, Daniel Duan, Michael R. Brent:
Integrating genomic homology into gene structure prediction.
140-148
- Michael Lappe, Jong Park, Oliver Niggemann, Liisa Holm:
Generating protein interaction maps from incomplete data: application to fold assignment.
149-156
- Fabian Model, Péter Adorján, Alexander Olek, Christian Piepenbrock:
Feature selection for DNA methylation based cancer classification.
157-164
- Bernard M. E. Moret, Li-San Wang, Tandy Warnow, Stacia K. Wyman:
New approaches for reconstructing phylogenies from gene order data.
165-173
- Steffen Möller, Jaak Vilo, Michael D. R. Croning:
Prediction of the coupling specificity of G protein coupled receptors to their G proteins.
174-181
- Tobias Müller, Sven Rahmann, Marc Rehmsmeier:
Non-symmetric score matrices and the detection of homologous transmembrane proteins.
182-189
- Luay Nakhleh, Usman Roshan, Katherine St. John, Jerry Sun, Tandy Warnow:
Designing fast converging phylogenetic methods.
190-198
- Uwe Ohler, Heinrich Niemann, Guo-chun Liao, Gerald M. Rubin:
Joint modeling of DNA sequence and physical properties to improve eukaryotic promoter recognition.
199-206
- Giulio Pavesi, Giancarlo Mauri, Graziano Pesole:
An algorithm for finding signals of unknown length in DNA sequences.
207-214
- Dana Pe'er, Aviv Regev, Gal Elidan, Nir Friedman:
Inferring subnetworks from perturbed expression profiles.
215-224
- Pavel A. Pevzner, Haixu Tang:
Fragment assembly with double-barreled data.
225-233
- Gianluca Pollastri, Pierre Baldi, Piero Fariselli, Rita Casadio:
Improved prediction of the number of residue contacts in proteins by recurrent neural networks.
234-242
- Eran Segal, Benjamin Taskar, Audrey Gasch, Nir Friedman, Daphne Koller:
Rich probabilistic models for gene expression.
243-252
- Steven Skiena:
Designing better phages.
253-261
- David J. States, Volker Nowotny, Thomas W. Blackwell:
Probabilistic approaches to the use of higher order clone relationships in physical map assembly.
262-269
- Amos Tanay, Ron Shamir:
Computational expansion of genetic networks.
270-278
- D. Venet, F. Pecasse, C. Maenhaut, Hugues Bersini:
Separation of samples into their constituents using gene expression data.
279-287
- Michael J. Wise:
0j.py: a software tool for low complexity proteins and protein domains.
288-295
- Jérôme Wojcik, Vincent Schächter:
Protein-protein interaction map inference using interacting domain profile pairs.
296-305
- Eric P. Xing, Richard M. Karp:
CLIFF: clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts.
306-315
- Chen-Hsiang Yeang, Sridhar Ramaswamy, Pablo Tamayo, Sayan Mukherjee, Ryan M. Rifkin, Michael Angelo, Michael Reich, Eric S. Lander, Jill P. Mesirov, Todd R. Golub:
Molecular classification of multiple tumor types.
316-322
- Alexander Zien, Thomas Aigner, Ralf Zimmer, Thomas Lengauer:
Centralization: a new method for the normalization of gene expression data.
323-331
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