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» Can we Find Molecular Signatures from Gene Expression Data
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BMCBI
2007
180views more  BMCBI 2007»
13 years 8 months ago
Splicy: a web-based tool for the prediction of possible alternative splicing events from Affymetrix probeset data
Background: The Affymetrix™ technology is nowadays a well-established method for the analysis of gene expression profiles in cancer research studies. However, changes in gene ex...
Davide Rambaldi, Barbara Felice, Viviane Praz, Phi...
BMCBI
2006
123views more  BMCBI 2006»
13 years 8 months ago
Characterizing disease states from topological properties of transcriptional regulatory networks
Background: High throughput gene expression experiments yield large amounts of data that can augment our understanding of disease processes, in addition to classifying samples. He...
David Tuck, Harriet Kluger, Yuval Kluger
RECOMB
2005
Springer
14 years 9 months ago
Very Low Power to Detect Asymmetric Divergence of Duplicated Genes
Abstract. Asymmetric functional divergence of paralogues is a key aspect of the traditional model of evolution following duplication. If one gene continues to perform the ancestral...
Cathal Seoighe, Konrad Scheffler
JIFS
2002
134views more  JIFS 2002»
13 years 8 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...
BMCBI
2010
165views more  BMCBI 2010»
13 years 8 months ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...