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ICPR
2008
IEEE
14 years 6 months ago
Visualization of transitions of developing of hepatitis C virus-associated hepatocellular carcinoma
In our previous study, we visualized microarray data of hepatocellular carcinoma (HCC) by using selforganizing-map, and investigated molecular signature representing the developme...
Takanobu Miyamoto, Yusuke Fujita, Shunji Uchimura,...
ICDM
2008
IEEE
146views Data Mining» more  ICDM 2008»
14 years 6 months ago
Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets
Clustering problems often involve datasets where only a part of the data is relevant to the problem, e.g., in microarray data analysis only a subset of the genes show cohesive exp...
Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk...
ISBRA
2009
Springer
14 years 6 months ago
Practical Quality Assessment of Microarray Data by Simulation of Differential Gene Expression
There are many methods for assessing the quality of microarray data, but little guidance regarding what to do when defective data is identified. Depending on the scientific questio...
Brian E. Howard, Beate Sick, Steffen Heber
RECOMB
2006
Springer
14 years 11 months ago
Permutation Filtering: A Novel Concept for Significance Analysis of Large-Scale Genomic Data
Permutation of class labels is a common approach to build null distributions for significance analyis of microarray data. It is assumed to produce random score distributions, which...
Stefanie Scheid, Rainer Spang
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
14 years 12 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
ISBI
2004
IEEE
15 years 6 days ago
Microarray Gene Expression Data Analysis
Image analysis is a crucial step in processing microarray data generated by gene expression studies, which have been used extensively in understanding the molecular mechanisms of ...
Yuhua Ding, Jacqueline Fairley, George J. Vachtsev...