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» Analysis of Variance for Gene Expression Microarray Data
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131
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PR
2006
161views more  PR 2006»
15 years 1 months ago
Incremental wrapper-based gene selection from microarray data for cancer classification
Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels of thousands or tens of thousands of genes in a single exp...
Roberto Ruiz Sánchez, José Crist&oac...
157
Voted
BMCBI
2006
374views more  BMCBI 2006»
15 years 1 months ago
AMDA: an R package for the automated microarray data analysis
Background: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and...
Mattia Pelizzola, Norman Pavelka, Maria Foti, Paol...
86
Voted
RECOMB
2001
Springer
16 years 1 months ago
Analysis techniques for microarray time-series data
We address possible limitations of publicly available data sets of yeast gene expression. We study the predictability of known regulators via time-series analysis, and show that l...
Vladimir Filkov, Steven Skiena, Jizu Zhi
ICCTA
2007
IEEE
15 years 5 months ago
New Distance Measure for Microarray Gene Expressions Using Linear Dynamic Range of Photo Multiplier Tube
This paper deals with a new distance measure for genes using their microarray expressions. The distance measure is called, "Maxrange distance", where an experiment speci...
Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, San...