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SIGMOD
2002
ACM
132views Database» more  SIGMOD 2002»
15 years 12 months ago
Clustering by pattern similarity in large data sets
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...
Haixun Wang, Wei Wang 0010, Jiong Yang, Philip S. ...
BMCBI
2006
147views more  BMCBI 2006»
14 years 12 months ago
Grouping Gene Ontology terms to improve the assessment of gene set enrichment in microarray data
Background: Gene Ontology (GO) terms are often used to assess the results of microarray experiments. The most common way to do this is to perform Fisher's exact tests to find...
Alex Lewin, Ian C. Grieve
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Analysis of four different sets of predictive features for metalloproteins
Metals bound to the protein are important for functional or structural roles. Despite their importance there is a distinct lack of research for identification of metalloproteins f...
Huseyin Seker, Parvez I. Haris
WOB
2007
15 years 1 months ago
Gene Set Enrichment Analysis Using Non-parametric Scores
Abstract. Gene Set Enrichment Analysis (GSEA) is a well-known technique used for studying groups of functionally related genes and their correlation with phenotype. This method cre...
Ariel E. Bayá, Mónica G. Larese, Pab...
BCB
2010
175views Bioinformatics» more  BCB 2010»
14 years 6 months ago
Gene set analysis using principal components
We present a new method for identifying gene sets associated with labeled samples, where the labels can be case versus control, or genotype differences. Existing approaches to thi...
Isa Kemal Pakatci, Wei Wang, Leonard McMillan