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BMCBI
2004
181views more  BMCBI 2004»
14 years 11 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
BMCBI
2008
155views more  BMCBI 2008»
15 years 1 days ago
Extending pathways based on gene lists using InterPro domain signatures
Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly...
Florian Hahne, Alexander Mehrle, Dorit Arlt, Annem...
CSB
2002
IEEE
117views Bioinformatics» more  CSB 2002»
15 years 4 months ago
A Literature Based Method for Identifying Gene-Disease Connections
We present a statistical method that can swiftly identify, from the literature, sets of genes known to be associated with given diseases. It offers a comprehensive way to treat al...
Lada A. Adamic, Dennis M. Wilkinson, Bernardo A. H...
NAR
2006
142views more  NAR 2006»
14 years 12 months ago
miRNAMap: genomic maps of microRNA genes and their target genes in mammalian genomes
Recent work has demonstrated that microRNAs (miRNAs) are involved in critical biological processes by suppressing the translation of coding genes. This work develops an integrated...
Paul Wei-Che Hsu, Hsien-Da Huang, Sheng-Da Hsu, Li...
BIBM
2007
IEEE
15 years 6 months ago
A Semi-supervised Learning Approach to Disease Gene Prediction
Discovering human disease-causing genes (disease genes in short) is one of the most challenging problems in bioinformatics and biomedicine, as most diseases are related in some wa...
Thanh Phuong Nguyen, Tu Bao Ho