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» Characteristic attributes in cancer microarrays
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BMCBI
2008
126views more  BMCBI 2008»
13 years 4 months ago
GeneChaser: Identifying all biological and clinical conditions in which genes of interest are differentially expressed
Background: The amount of gene expression data in the public repositories, such as NCBI Gene Expression Omnibus (GEO) has grown exponentially, and provides a gold mine for bioinfo...
Rong Chen, Rohan Mallelwar, Ajit Thosar, Shivkumar...
BMCBI
2010
113views more  BMCBI 2010»
13 years 4 months ago
Class prediction for high-dimensional class-imbalanced data
Background: The goal of class prediction studies is to develop rules to accurately predict the class membership of new samples. The rules are derived using the values of the varia...
Rok Blagus, Lara Lusa
BMCBI
2010
110views more  BMCBI 2010»
13 years 3 months ago
Improvements to previous algorithms to predict gene structure and isoform concentrations using Affymetrix Exon arrays
Background: Exon arrays provide a way to measure the expression of different isoforms of genes in an organism. Most of the procedures to deal with these arrays are focused on gene...
Miguel A. Anton, Ander Aramburu, Angel Rubio
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
13 years 10 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton