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1st ISMB 1993: Bethesda, MD, USA
- Lawrence Hunter, David B. Searls, Jude W. Shavlik:
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, Bethesda, MD, USA, July 1993. AAAI 1993, ISBN 0-929280-47-4 - Jeffery S. Aaronson, Juergen Haas, G. Christian Overton:
Knowledge Discovery in GENBANK. 3-11 - Russ B. Altman:
Probabilistic Structure Calculations: A Three-Dimensional tRNA Structure from Sequence Correlation Data. 12-20 - Kenneth Baclawski, Robert P. Futrelle, Natalya Fridman Noy, Maurice J. Pescitelli:
Database Techniques for Biological Materials and Methods. 21-28 - Dennis R. Bahler, Douglas W. Bristol:
The Induction of Rules for Predicting Chemical Carcinogenesis in Rodents. 29-37 - Sheldon S. Ball, Vei H. Mah:
SENEX: A CLOS/CLIM Application for Molecular Pathology. 38-46 - Michael Brown, Richard Hughey, Anders Krogh, I. Saira Mian, Kimmen Sjölander, David Haussler:
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families. 47-55 - Andrea Califano, Isidore Rigoutsos:
FLASH: A Fast Look-Up Algorithm for String Homology. 56-64 - Philip K. Chan, Salvatore J. Stolfo:
Toward Multi-Strategy Parallel & Distributed Learning in Sequence Analysis. 65-73 - Kevin J. Cherkauer, Jude W. Shavlik:
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools. 74-82 - Dominic A. Clark, Christopher J. Rawlings, Jack Shirazi, André Véron, Mike Reeve:
Protein Topology Prediction through Parallel Constraint Logic Programming. 83-91 - Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman:
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data. 92-100 - Darrell Conklin, Suzanne Fortier, Janice I. Glasgow:
Representation for Discovery of Protein Motifs. 101-108 - Arthur L. Delcher, Simon Kasif, Harry R. Goldberg, William H. Hsu:
Protein Secondary-Structure Modeling with Probabilistic Networks. 109-117 - Inna Dubchak, Stephen R. Holbrook, Sung-Hou Kim:
Comparison of Two Variations of Neural Network Approaches to the Prediction of Protein Folding Pattern. 118-126 - Edgardo A. Ferrán, Pascual Ferrara, Bernard Pflugfelder:
Protein Classification Using Neural Networks. 127-135 - James B. Golden III, Deborah Torgersen, Clark Tibbetts:
Pattern Recognition for Automated DNA Sequencing: I. On-Line Signal Conditioning and Feature Extraction for Basecalling. 136-144 - Jérôme Gracy, Laurent Chiche, Jean Sallantin:
A Modular Learning Environment for Protein Modeling. 145-153 - Mark Graves:
Integrating Order and Distance Relationships from Heterogeneous Maps. 154-162 - John N. Guidi, Thomas H. Roderick:
Inference of Order in Genetic Systems. 163-171 - Carsten Helgesen, Peter R. Sibbald:
PALM - A Pattern Language for Molecular Biology. 172-180 - Ralf Hofestädt:
Grammatical Formalization of Metabolic Processes. 181-189 - Lawrence Hunter, Teri E. Klein:
Finding Relevant Biomolecular Features. 190-197 - Thomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam:
Constructive Induction and Protein Tertiary Structure Prediction. 198-206 - Peter D. Karp, Monica Riley:
Representations of Metabolic Knowledge. 207-215 - Brian P. Kettler, Lindley Darden:
Protein Sequencing Experiment Planning Using Analogy. 216-224 - Tod M. Klingler, Douglas L. Brutlag:
Detection of Correlations in tRNA Sequences with Structural Implications. 225-233 - Krys J. Kochut, Jonathan P. Arnold, John A. Miller, Walter D. Potter:
Design of an Object-Oriented Database for Reverse Genetics. 234-242 - Christophe Lefèvre, Joh-E Ikeda:
A Small Automaton for Word Recognition in DNA Sequences. 243-250 - Bing Leng, Bruce G. Buchanan, Hugh B. Nicholas:
Protein Secondary Structure Prediction Using Two-Level Case-Based Reasoning. 251-259 - Tara Cox Matise, Mark Perlin, Aravinda Chakravarti:
MultiMap: An Expert System for Automated Genetic Linkage Mapping. 260-265 - Toshiyuki Matsushima:
Constructing a Distributed Object-Oriented System with Logical Constraints for Fluorescence-Activated Cell Sorting. 266-274 - Michael L. Mavrovouniotis:
Identification of Localized and Distributed Bottlenecks in Metabolic Pathways. 275-283 - Aleksandar Milosavljevic:
Discovering Sequence Similarity by the Algorithmic Significance Method. 284-291 - Engelbert Mephu Nguifo, Jean Sallantin:
Prediction of Primate Splice Junction Gene Sequences with a Cooperative Knowledge Acquisition System. 292-300 - Kentaro Onizuka, Stephen T. C. Wong, Masato Ishikawa, Kiyoshi Asai:
A Multi-Level Description Scheme of Protein Conformation. 301-309 - Rebecca J. Parsons, Stephanie Forrest, Christian Burks:
Genetic Algorithms for DNA Sequence Assembly. 310-318 - Guy Perrière, Frank Dorkeld, François Rechenmann, Christian Gautier:
Object-Oriented Knowledge Bases for the Analysis of Prokaryotic and Eukaryotic Genomes. 319-327 - Venkatramana N. Reddy, Michael L. Mavrovouniotis, Michael N. Liebman:
Petri Net Representations in Metabolic Pathways. 328-336 - James A. Reggia, Hui-Hsien Chou, Steven L. Armentrout, Yun Peng:
Minimizing Complexity in Cellular Automata Models of Self-Replication. 337-344 - Olivier Schmeltzer, Claudine Médigue, P. Uvietta, François Rechenmann, Frank Dorkeld, Guy Perrière, Christian Gautier:
Building Large Knowledge Bases in Molecular Biology. 345-353 - Hans B. Sieburg, Cristobal Baray, Kevin S. Kunzelman:
Testing HIV Molecular Biology In itIn Silico Physiologies. 354-361 - Steven Skiena, Gopalakrishnan Sundaram:
A Partial Digest Approach to Restriction Site Mapping. 362-370 - Victor V. Solovyev, Charles B. Lawrence:
Identification of Human Gene Functional Regions Based on Oligonucleotide Composition. 371-379 - Gordon K. Springer, Timothy B. Patrick:
A Service-Oriented Information Sources Database for the Biological Sciences. 380-386 - David J. States, Nomi L. Harris, Lawrence Hunter:
Computationally Efficient Cluster Representation in Molecular Sequence Megaclassification. 387-394 - Hidetoshi Tanaka, Masato Ishikawa, Kiyoshi Asai, Akihiko Konagaya:
Hidden Markov Models and Iterative Aligners: Study of Their Equivalence and Possibilities. 395-401 - Jukka Vanhala, Kimmo Kaski:
Protein Structure Prediction System Based on Artificial Neural Networks. 402-410 - Stella Veretnik, Bruce R. Schatz:
Pattern Discovery in Gene Regulation: Designing an Analysis Environment. 411-419 - Sholom M. Weiss, Dawn M. Cohen, Nitin Indurkhya:
Transmembrane Segment Prediction from Protein Sequence Data. 420-428 - Cathy H. Wu, Michael W. Berry, Yuk-Shing Fung, Jerry McLarty:
Neural Networks for Molecular Sequence Classification. 429-437 - Xiru Zhang, Jacquelyn S. Fetrow, William A. Rennie, David L. Waltz, George Berg:
Automatic Derivation of Substructures Yields Novel Structural Building Blocks in Globular Proteins. 438-446 - Diane E. Zimmerman, Casimir A. Kulikowski, Gaetano T. Montelione:
A Constraint Reasoning System for Automating Sequence-Specific Resonance Assignments from Multidimensional Protein NMR Spectra. 447-455
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