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» Analysis of variance components in gene expression data
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JIFS
2002
134views more  JIFS 2002»
14 years 9 months ago
Classification of gene expression data using fuzzy logic
Microarray technologies have allowed the measurement of expression of multiple genes simultaneously. Gene expression levels can be used to classify tissues into diagnostic or progn...
Lucila Ohno-Machado, Staal A. Vinterbo, Griffin We...
APBC
2004
138views Bioinformatics» more  APBC 2004»
14 years 11 months ago
Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments. The resulti...
See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
BIBE
2007
IEEE
127views Bioinformatics» more  BIBE 2007»
15 years 1 months ago
Gene Selection via Matrix Factorization
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
Fei Wang, Tao Li
BIOINFORMATICS
2005
72views more  BIOINFORMATICS 2005»
14 years 9 months ago
Use of within-array replicate spots for assessing differential expression in microarray experiments
Motivation. Spotted arrays are often printed with probes in duplicate or triplicate, but current methods for assessing differential expression are not able to make full use of the...
Gordon K. Smyth, Joëlle Michaud, Hamish S. Sc...
BMCBI
2008
85views more  BMCBI 2008»
14 years 9 months ago
Comprehensive analysis of circadian periodic pattern in plant transcriptome
Background: Circadian rhythm is a crucial factor in orchestration of plant physiology, keeping it in synchrony with the daylight cycle. Previous studies have reported that up to 1...
Andrey A. Ptitsyn