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» Network constrained clustering for gene microarray data
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BIBE
2007
IEEE
153views Bioinformatics» more  BIBE 2007»
14 years 11 months ago
Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach
—DNA microarray technologies provide means for monitoring in the order of tens of thousands of gene expression levels quantitatively and simultaneously. However data generated in...
Juliette Blanchet, Matthieu Vignes
82
Voted
BMCBI
2010
116views more  BMCBI 2010»
14 years 9 months ago
FiGS: a filter-based gene selection workbench for microarray data
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
Taeho Hwang, Choong-Hyun Sun, Taegyun Yun, Gwan-Su...
BMCBI
2006
160views more  BMCBI 2006»
14 years 9 months ago
MIMAS: an innovative tool for network-based high density oligonucleotide microarray data management and annotation
Background: The high-density oligonucleotide microarray (GeneChip) is an important tool for molecular biological research aiming at large-scale detection of small nucleotide polym...
Leandro Hermida, Olivier Schaad, Philippe Demougin...
BMCBI
2008
160views more  BMCBI 2008»
14 years 9 months ago
A comparison of four clustering methods for brain expression microarray data
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
Alexander L. Richards, Peter Holmans, Michael C. O...
AUSAI
2005
Springer
15 years 3 months ago
Finding Similar Patterns in Microarray Data
Abstract. In this paper we propose a clustering algorithm called sCluster for analysis of gene expression data based on pattern-similarity. The algorithm captures the tight cluster...
Xiangsheng Chen, Jiuyong Li, Grant Daggard, Xiaodi...