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» Clustering gene expression patterns
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CSB
2005
IEEE
156views Bioinformatics» more  CSB 2005»
15 years 3 months ago
A Robust Meta-classification Strategy for Cancer Diagnosis from Gene Expression Data
One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combi...
Gabriela Alexe, Gyan Bhanot, Babu Venkataraghavan,...
BMCBI
2004
149views more  BMCBI 2004»
14 years 9 months ago
MiCoViTo: a tool for gene-centric comparison and visualization of yeast transcriptome states
Background: Information obtained by DNA microarray technology gives a rough snapshot of the transcriptome state, i.e., the expression level of all the genes expressed in a cell po...
Gaëlle Lelandais, Philippe Marc, Pierre Vince...
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 4 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
BMCBI
2008
82views more  BMCBI 2008»
14 years 10 months ago
Gene expression profile of peripheral blood mononuclear cells in response to HIV-VLPs stimulation
Background: Baculovirus-expressed HIV-1 Pr55gag Virus-Like Particles (HIV-VLPs) induce maturation and activation of monocyte-derived dendritic cells (MDDCs) with a production of T...
Luigi Buonaguro, Alessandro Monaco, Eleonora Aric&...
ICPR
2006
IEEE
15 years 11 months ago
A Hybrid, Recursive Algorithm for Clustering Expressed Sequence Tags in Chlamydomonas reinhardtii
We present an efficient, fully automated algorithm to assemble ESTs into full-length cDNA sequences that represent the complete coding regions of a gene. Our EST clustering algori...
Arthur Grossman, Charles Hauser, Hilary J. Holz, J...