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BMCBI
2010
153views more  BMCBI 2010»
13 years 9 months ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...
BMCBI
2006
207views more  BMCBI 2006»
13 years 9 months ago
A new measure for functional similarity of gene products based on Gene Ontology
Background: Gene Ontology (GO) is a standard vocabulary of functional terms and allows for coherent annotation of gene products. These annotations provide a basis for new methods ...
Andreas Schlicker, Francisco S. Domingues, Jö...
BMCBI
2007
135views more  BMCBI 2007»
13 years 9 months ago
DAVID Knowledgebase: a gene-centered database integrating heterogeneous gene annotation resources to facilitate high-throughput
Background: Due to the complex and distributed nature of biological research, our current biological knowledge is spread over many redundant annotation databases maintained by man...
Brad T. Sherman, Da Wei Huang, Qina Tan, Yongjian ...
KDD
2003
ACM
190views Data Mining» more  KDD 2003»
14 years 9 months ago
Distance-enhanced association rules for gene expression
We introduce a novel data mining technique for the analysis of gene expression. Gene expression is the effective production of the protein that a gene encodes. We focus on the cha...
Aleksandar Icev, Carolina Ruiz, Elizabeth F. Ryder
IEAAIE
2010
Springer
13 years 6 months ago
Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles
Abstract. Gene expression profiling strategies have attracted considerable interest from biologist due to the potential for high throughput analysis of hundreds of thousands of gen...
Daniel Urda, José Luis Subirats, Leonardo F...