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» Extraction of informative genes from microarray data
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114
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SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
15 years 5 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
142
Voted
BMCBI
2004
119views more  BMCBI 2004»
15 years 3 months ago
Genome SEGE: A database for 'intronless' genes in eukaryotic genomes
Background: A number of completely sequenced eukaryotic genome data are available in the public domain. Eukaryotic genes are either 'intron containing' or 'intronle...
Meena K. Sakharkar, Pandjassarame Kangueane
BMCBI
2007
122views more  BMCBI 2007»
15 years 3 months ago
Dissecting complex transcriptional responses using pathway-level scores based on prior information
Background: The genomewide pattern of changes in mRNA expression measured using DNA microarrays is typically a complex superposition of the response of multiple regulatory pathway...
Harmen J. Bussemaker, Lucas D. Ward, André ...
138
Voted
BMCBI
2008
124views more  BMCBI 2008»
15 years 3 months ago
A probe-treatment-reference (PTR) model for the analysis of oligonucleotide expression microarrays
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...
Huanying Ge, Chao Cheng, Lei M. Li
158
Voted
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
15 years 9 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