SIGKDD(KDD) 2001 论文列表Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001). |
A scalable algorithm for clustering protein sequences.
Hierarchical cluster analysis of SAGE data for cancer profiling.
Maximum entropy methods for biological sequence modeling.
Investigation of bagging-like effects and decision trees versus neural nets in protein secondary structure prediction.
Nitesh V. Chawla Thomas E. Moore Kevin W. Bowyer Lawrence O. Hall Clayton Springer W. Philip Kegelmeyer
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers.
Shared challenges in data mining and computational biology (abstract of invited talk).
A probabilistic approach to sequence assembly validation.
A learning algorithm for string assembly.
Analysis of an associative memory neural network for pattern identification in gene expression data.
Classification of genes using probabilistic models of microarray expression profiles.
Mining microarray expression data for classifier gene-cores.
Extracting knowledge from gene expression data: A case study of Batten Disease.
Determination of RNA folding pathway functional intermediates using a massively parallel genetic algorithm (abstract of invited talk).