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» E-CAST: A Data Mining Algorithm for Gene Expression Data
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BMCBI
2010
97views more  BMCBI 2010»
13 years 8 months ago
Biomarker discovery in heterogeneous tissue samples -taking the in-silico deconfounding approach
Background: For heterogeneous tissues, such as blood, measurements of gene expression are confounded by relative proportions of cell types involved. Conclusions have to rely on es...
Dirk Repsilber, Sabine Kern, Anna Telaar, Gerhard ...
BMCBI
2008
166views more  BMCBI 2008»
13 years 8 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
14 years 1 months ago
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
Meghana Deodhar, Joydeep Ghosh
ECCB
2003
IEEE
14 years 1 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...
COMPLIFE
2006
Springer
13 years 11 months ago
Relational Subgroup Discovery for Descriptive Analysis of Microarray Data
Abstract. This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to help find description of groups of genes different...
Igor Trajkovski, Filip Zelezný, Jakub Tolar...