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» The ParTriCluster Algorithm for Gene Expression Analysis
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BMCBI
2008
193views more  BMCBI 2008»
15 years 18 days ago
Missing value imputation for microarray gene expression data using histone acetylation information
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...
Qian Xiang, Xianhua Dai, Yangyang Deng, Caisheng H...
BMCBI
2004
169views more  BMCBI 2004»
15 years 10 days ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
126
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 27 days ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...
103
Voted
BMCBI
2006
120views more  BMCBI 2006»
15 years 16 days ago
A factor analysis model for functional genomics
Background: Expression array data are used to predict biological functions of uncharacterized genes by comparing their expression profiles to those of characterized genes. While b...
Rafal Kustra, Romy Shioda, Mu Zhu
BMCBI
2007
109views more  BMCBI 2007»
15 years 14 days ago
Discarding duplicate ditags in LongSAGE analysis may introduce significant error
Background: During gene expression analysis by Serial Analysis of Gene Expression (SAGE), duplicate ditags are routinely removed from the data analysis, because they are suspected...
Jeppe Emmersen, Anna M. Heidenblut, Annabeth Laurs...