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BMCBI
2006
85views more  BMCBI 2006»
13 years 7 months ago
On the statistical assessment of classifiers using DNA microarray data
Background: In this paper we present a method for the statistical assessment of cancer predictors which make use of gene expression profiles. The methodology is applied to a new d...
Nicola Ancona, Rosalia Maglietta, Ada Piepoli, Ann...
BMCBI
2005
223views more  BMCBI 2005»
13 years 7 months ago
Bioinformatics approaches for cross-species liver cancer analysis based on microarray gene expression profiling
Background: The completion of the sequencing of human, mouse and rat genomes and knowledge of cross-species gene homologies enables studies of differential gene expression in anim...
Hong Fang, Weida Tong, Roger Perkins, Leming M. Sh...
BMCBI
2011
13 years 2 months ago
Errors in CGAP xProfiler and cDNA DGED: the importance of library parsing and gene selection algorithms
Background: The Cancer Genome Anatomy Project (CGAP) xProfiler and cDNA Digital Gene Expression Displayer (DGED) have been made available to the scientific community over a decade...
Andrew T. Milnthorpe, Mikhail Soloviev
ICPR
2004
IEEE
14 years 8 months ago
Feature Selection and Gene Clustering from Gene Expression Data
In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
D. Dutta Majumder, Pabitra Mitra
IJBRA
2007
97views more  IJBRA 2007»
13 years 7 months ago
Structural Risk Minimisation based gene expression profiling analysis
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
Xue-wen Chen, Byron Gerlach, Dechang Chen, ZhenQiu...