Drupal-Biblio17<style face="normal" font="default" size="100%">Next station in microarray data analysis: GEPAS</style>Drupal-Biblio17<style face="normal" font="default" size="100%">GEPAS, an experiment-oriented pipeline for the analysis of microarray gene expression data</style>Drupal-Biblio5<style face="normal" font="default" size="100%">Salinibacter ruber: genomics and biogeography</style>Drupal-Biblio17<style face="normal" font="default" size="100%">New challenges in gene expression data analysis and the extended GEPAS</style>Drupal-Biblio17<style face="normal" font="default" size="100%">An approach to inferring transcriptional regulation among genes from large-scale expression data</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Comparing bacterial genomes through conservation profiles</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Gene expression data preprocessing</style>Drupal-Biblio17<style face="normal" font="default" size="100%">GEPAS: A web-based resource for microarray gene expression data analysis</style>Drupal-Biblio5<style face="normal" font="default" size="100%">Using Gene Ontology on genome-scale studies to find significant associations of biologically relevant terms to group of genes</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Bioinformatics methods for the analysis of expression arrays: data clustering and information extraction</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Combining hierarchical clustering and self-organizing maps for exploratory analysis of gene expression patterns</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Identification of genes involved in resistance to interferon-alpha in cutaneous T-cell lymphoma</style>Drupal-Biblio5<style face="normal" font="default" size="100%">Supervised Neural Networks For Clustering Conditions In DNA Array Data After Reducing Noise By Clustering Gene Expression Profiles</style>Drupal-Biblio47<style face="normal" font="default" size="100%">Unsupervised reduction of the dimensionality followed by supervised learning with a perceptron improves the classification of conditions in DNA microarray gene expression data</style>Drupal-Biblio5<style face="normal" font="default" size="100%">Using perceptrons for supervised classification of DNA microarray samples: obtaining the optimal level of information and finding differentially expressed genes</style>Drupal-Biblio17<style face="normal" font="default" size="100%">Annotated draft genomic sequence from a Streptococcus pneumoniae type 19F clinical isolate</style>Drupal-Biblio17<style face="normal" font="default" size="100%">A hierarchical unsupervised growing neural network for clustering gene expression patterns</style>