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CSB
2005
IEEE
151views Bioinformatics» more  CSB 2005»
14 years 2 months ago
Analysis of SNP-Expression Association Matrices
High throughput expression profiling and genotyping technologies provide the means to study the genetic determinants of population variation in gene expression variation. In this ...
Anya Tsalenko, Roded Sharan, Hege Edvardsen, Vesse...
IDA
2007
Springer
13 years 8 months ago
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data
: DNA micro-arrays provide thousands of genomic expressions on the same subject. A main issue is then to find the subset of genes whose degeneration is responsible of a certain typ...
Simone Garatti, Sergio Bittanti, Diego Liberati, A...
CCGRID
2006
IEEE
14 years 19 days ago
DIMVisual: Data Integration Model for Visualization of Parallel Programs Behavior
Abstract-- The development of high performance parallel applications for clusters is considered a complex task. This can happen because the influence of the execution environment a...
Lucas Mello Schnorr, Philippe Olivier Alexandre Na...
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
14 years 9 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
BIODATAMINING
2008
135views more  BIODATAMINING 2008»
13 years 9 months ago
Fast Gene Ontology based clustering for microarray experiments
Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi