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» Clustering cancer gene expression data: a comparative study
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SC
2009
ACM
15 years 11 months ago
Cloud technologies for bioinformatics applications
Executing large number of independent tasks or tasks that perform minimal inter-task communication in parallel is a common requirement in many domains. In this paper, we present o...
Xiaohong Qiu, Jaliya Ekanayake, Scott Beason, Thil...
BMCBI
2006
98views more  BMCBI 2006»
15 years 6 months ago
Quantitative comparison of EST libraries requires compensation for systematic biases in cDNA generation
Background: Publicly accessible EST libraries contain valuable information that can be utilized for studies of tissue-specific gene expression and processing of individual genes. ...
Donglin Liu, Joel H. Graber
BMCBI
2010
153views more  BMCBI 2010»
15 years 6 months ago
Starr: Simple Tiling ARRay analysis of Affymetrix ChIP-chip data
Background: Chromatin immunoprecipitation combined with DNA microarrays (ChIP-chip) is an assay used for investigating DNA-protein-binding or post-translational chromatin/histone ...
Benedikt Zacher, Pei Fen Kuan, Achim Tresch
RSFDGRC
2005
Springer
192views Data Mining» more  RSFDGRC 2005»
16 years 2 days ago
An Open Source Microarray Data Analysis System with GUI: Quintet
We address Quintet, an R-based unified cDNA microarray data analysis system with GUI. Five principal categories of microarray data analysis have been coherently integrated in Quin...
Jun-kyoung Choe, Tae-Hoon Chung, Sunyong Park, Hwa...
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
16 years 1 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...