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BMCBI
2006
87views more  BMCBI 2006»
13 years 9 months ago
Computational expression deconvolution in a complex mammalian organ
Background: Microarray expression profiling has been widely used to identify differentially expressed genes in complex cellular systems. However, while such methods can be used to...
Min Wang, Stephen R. Master, Lewis A. Chodosh
46
Voted
BMCBI
2005
190views more  BMCBI 2005»
13 years 8 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 9 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
WILF
2005
Springer
112views Fuzzy Logic» more  WILF 2005»
14 years 2 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...
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
14 years 9 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu