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ACIIDS
2010
IEEE
170views Database» more  ACIIDS 2010»
13 years 6 months ago
On the Effectiveness of Gene Selection for Microarray Classification Methods
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou
BMCBI
2010
106views more  BMCBI 2010»
13 years 8 months ago
A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes
Background: Observed co-expression of a group of genes is frequently attributed to co-regulation by shared transcription factors. This assumption has led to the hypothesis that pr...
Guofeng Meng, Axel Mosig, Martin Vingron
ISMB
2000
13 years 10 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
BMCBI
2007
144views more  BMCBI 2007»
13 years 8 months ago
Accelerated search for biomolecular network models to interpret high-throughput experimental data
Background: The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control protein e...
Suman Datta, Bahrad A. Sokhansanj
BMCBI
2007
180views more  BMCBI 2007»
13 years 8 months ago
Splicy: a web-based tool for the prediction of possible alternative splicing events from Affymetrix probeset data
Background: The Affymetrix™ technology is nowadays a well-established method for the analysis of gene expression profiles in cancer research studies. However, changes in gene ex...
Davide Rambaldi, Barbara Felice, Viviane Praz, Phi...