BIOKDD 2001: San Francisco, CA, USA

Mohammed Javeed Zaki, Hannu Toivonen, Jason Tsong-Li Wang (Eds.): Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001). 2001

Invited Paper & Gene Expression

Bruce A. Shapiro, David Bengali, Wojciech Kasprzak:
Determination of RNA folding pathway functional intermediates using a massively parallel genetic algorithm (abstract of invited talk). 1
Simon M. Lin, Sumeer Dhar, Rose-Mary N. Boustany:
Extracting knowledge from gene expression data: A case study of Batten Disease. 2-7

Goutham Kurra, Wen Niu, Raj Bhatnagar:
Mining microarray expression data for classifier gene-cores. 8-14
Paul Pavlidis, Christopher Tang, William Stafford Noble:
Classification of genes using probabilistic models of microarray expression profiles. 15-21
Silvio Bicciato, Mario Pandin, Giuseppe Didone, Carlo Di Bello:
Analysis of an associative memory neural network for pattern identification in gene expression data. 22-30

Mark K. Goldberg, Darren T. Lim, Malik Magdon-Ismail:
A learning algorithm for string assembly. 31-37
Sun Kim, Li Liao, Jean-François Tomb:
A probabilistic approach to sequence assembly validation. 38-43

Charles Elkan:
Shared challenges in data mining and computational biology (abstract of invited talk). 44
Mikael Huss, Henrik Boström, Lars Asker, Joakim Cöster:
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers. 45-49
Nitesh V. Chawla, Thomas E. Moore, Kevin W. Bowyer, Lawrence O. Hall, Clayton Springer, W. Philip Kegelmeyer:
Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction. 50-59

Eugen C. Buehler, Lyle H. Ungar:
Maximum entropy methods for biological sequence modeling. 60-64
Raymond T. Ng, Jörg Sander, Monica C. Sleumer:
Hierarchical cluster analysis of SAGE data for cancer profiling. 65-72
Valerie Guralnik, George Karypis:
A scalable algorithm for clustering protein sequences. 73-80

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