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» On the Effectiveness of Constraints Sets in Clustering Genes
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BMCBI
2011
13 years 10 days ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
BMCBI
2010
153views more  BMCBI 2010»
13 years 5 months ago
Challenges in microarray class discovery: a comprehensive examination of normalization, gene selection and clustering
Background: Cluster analysis, and in particular hierarchical clustering, is widely used to extract information from gene expression data. The aim is to discover new classes, or su...
Eva Freyhult, Mattias Landfors, Jenny Önskog,...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 5 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...
BMCBI
2006
85views more  BMCBI 2006»
13 years 5 months ago
Use of physiological constraints to identify quantitative design principles for gene expression in yeast adaptation to heat shoc
Background: Understanding the relationship between gene expression changes, enzyme activity shifts, and the corresponding physiological adaptive response of organisms to environme...
Ester Vilaprinyó, Rui Alves, Albert Sorriba...
BMCBI
2008
133views more  BMCBI 2008»
13 years 5 months ago
A Web-based and Grid-enabled dChip version for the analysis of large sets of gene expression data
Background: Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible f...
Luca Corradi, Marco Fato, Ivan Porro, Silvia Scagl...