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» Evaluation of clustering algorithms for gene expression data
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BMCBI
2005
169views more  BMCBI 2005»
15 years 6 months ago
An adaptive method for cDNA microarray normalization
Background: Normalization is a critical step in analysis of gene expression profiles. For duallabeled arrays, global normalization assumes that the majority of the genes on the ar...
Yingdong Zhao, Ming-Chung Li, Richard Simon
ECML
2006
Springer
15 years 8 months ago
Cascade Evaluation of Clustering Algorithms
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
CIBCB
2008
IEEE
16 years 1 months ago
An information theoretic approach for the discovery of irregular and repetitive patterns in genomic data
sequence content at an abstract level and offers novel ways to examine the information contained in them. Our approach is an information theoretic search process which uses patter...
Willard Davis, Ananth Kalyanaraman, Diane J. Cook
BMCBI
2008
133views more  BMCBI 2008»
15 years 6 months ago
CORE_TF: a user-friendly interface to identify evolutionary conserved transcription factor binding sites in sets of co-regulated
Background: The identification of transcription factor binding sites is difficult since they are only a small number of nucleotides in size, resulting in large numbers of false po...
Matthew S. Hestand, Michiel van Galen, Michel P. V...
SSDBM
2008
IEEE
177views Database» more  SSDBM 2008»
16 years 1 months ago
ELKI: A Software System for Evaluation of Subspace Clustering Algorithms
In order to establish consolidated standards in novel data mining areas, newly proposed algorithms need to be evaluated thoroughly. Many publications compare a new proposition – ...
Elke Achtert, Hans-Peter Kriegel, Arthur Zimek