ISMB 2001
ISMB 2001 Organization
An efficient algorithm for finding short approximate non-tandem repeats
SCOPE : a probabilistic model for scoring tandem mass spectra against a peptide database
Fast optimal leaf ordering for hierarchical clustering
Separating real motifs from their artifacts
Probe selection algorithms with applications in the analysis of microbial communities
Visualizing associations between genome sequences and gene expression data using genome-mean expression profiles
Gene recognition based on DAG shortest paths
Using mixtures of common ancestors for estimating the probabilities of discrete events in biological sequences
GENIES : a natural-language processing system for the extraction of molecular pathways from journal articles
An insight into domain combinations
Promoter prediction in the human genome
Disambiguating proteins, genes, and RNA in text : a machine learning approach
Identifying splits with clear separation : a new class discovery method for gene expression data
GEST : a gene expression search tool based on a novel Bayesian similarity metric
Probabilistic divergence measures for detecting interspecies recombination
Design of a compartmentalized shotgun assembler for the human genome
Integrating genomic homology into gene structure prediction
Generating protein interaction maps from incomplete data : application to fold assignment
Feature selection for DNA methylation based cancer classification
New approaches for reconstructing phylogenies from gene order data
Prediction of the coupling specificity of G protein coupled receptors to their G proteins
Non-symmetric score matrices and the detection of homologous transmembrane proteins
Designing fast converging phylogenetic methods
Joint modeling of DNA sequence and physical properties to improve eukaryotic promoter recognition
An algorithm for finding signals of unknown length in DNA sequences
Inferring subnetworks from perturbed expression profiles
Fragment assembly with double-barreled data
Improved prediction of the number of residue contacts in proteins by recurrent neural networks
Rich probabilistic models for gene expression
Designing better phages
Probabilistic approaches to the use of higher order clone relationships in physical map assembly
Computational expansion of genetic networks
Separation of samples into their constituents using gene expression data : a software tool for low complexity proteins and protein domains
Protein-protein interaction map inference using interacting domain profile pairs
CLIFF : clustering of high-dimensional microarray data via iterative feature filtering using normalized cuts
Molecular classification of multiple tumor types
Centralization : a new method for the normalization of gene expression data