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» Microarray data mining using landmark gene-guided clustering
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SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
13 years 9 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
RSFDGRC
2005
Springer
192views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
An Open Source Microarray Data Analysis System with GUI: Quintet
We address Quintet, an R-based unified cDNA microarray data analysis system with GUI. Five principal categories of microarray data analysis have been coherently integrated in Quin...
Jun-kyoung Choe, Tae-Hoon Chung, Sunyong Park, Hwa...
BMCBI
2006
160views more  BMCBI 2006»
13 years 7 months ago
MIMAS: an innovative tool for network-based high density oligonucleotide microarray data management and annotation
Background: The high-density oligonucleotide microarray (GeneChip) is an important tool for molecular biological research aiming at large-scale detection of small nucleotide polym...
Leandro Hermida, Olivier Schaad, Philippe Demougin...
WILF
2005
Springer
112views Fuzzy Logic» more  WILF 2005»
14 years 1 months ago
NEC for Gene Expression Analysis
Aim of this work is to apply a novel comprehensive machine learning tool for data mining to preprocessing and interpretation of gene expression data. Furthermore, some visualizatio...
Roberto Amato, Angelo Ciaramella, N. Deniskina, Ca...
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
13 years 9 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...