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IPPS
2002
IEEE
15 years 2 months ago
Parallel EST Clustering
Expressed sequence tags, abbreviated ESTs, are DNA fragments experimentally derived from expressed portions of genes. Clustering of ESTs is essential for gene recognition and unde...
Anantharaman Kalyanaraman, Srinivas Aluru, Suresh ...
89
Voted
BMCBI
2004
117views more  BMCBI 2004»
14 years 9 months ago
Cancer characterization and feature set extraction by discriminative margin clustering
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...
NAR
2010
111views more  NAR 2010»
14 years 4 months ago
Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional pr
Babelomics is a response to the growing necessity of integrating and analyzing different types of genomic data in an environment that allows an easy functional interpretation of t...
Ignacio Medina, José Carbonell, Luis Pulido...
BMCBI
2008
122views more  BMCBI 2008»
14 years 9 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
72
Voted
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
15 years 10 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng