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» Can we Find Molecular Signatures from Gene Expression Data
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BMCBI
2007
135views more  BMCBI 2007»
13 years 8 months ago
Measuring similarities between gene expression profiles through new data transformations
Background: Clustering methods are widely used on gene expression data to categorize genes with similar expression profiles. Finding an appropriate (dis)similarity measure is crit...
Kyungpil Kim, Shibo Zhang, Keni Jiang, Li Cai, In-...
TSMC
2008
136views more  TSMC 2008»
13 years 8 months ago
Learning Relational Descriptions of Differentially Expressed Gene Groups
Abstract-- This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to find compactly described groups of genes differen...
Igor Trajkovski, Filip Zelezný, Nada Lavrac...
BIOINFORMATICS
2005
151views more  BIOINFORMATICS 2005»
13 years 8 months ago
Differential and trajectory methods for time course gene expression data
Motivation: The issue of high dimensionality in microarray data has been, and remains, a hot topic in statistical and computational analysis. Efficient gene filtering and differen...
Yulan Liang, Bamidele Tayo, Xueya Cai, Arpad Kelem...
BMCBI
2006
153views more  BMCBI 2006»
13 years 8 months ago
Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
BMCBI
2008
135views more  BMCBI 2008»
13 years 8 months ago
Identification of a small optimal subset of CpG sites as bio-markers from high-throughput DNA methylation profiles
Background: DNA methylation patterns have been shown to significantly correlate with different tissue types and disease states. High-throughput methylation arrays enable large-sca...
Hailong Meng, Edward Lenn Murrelle, Guoya Li