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BIOINFORMATICS
2005
87views more  BIOINFORMATICS 2005»
15 years 16 days ago
Simple decision rules for classifying human cancers from gene expression profiles
Aik Choon Tan, Daniel Q. Naiman, Lei Xu, Raimond L...
211
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GCB
2010
Springer
204views Biometrics» more  GCB 2010»
14 years 10 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
103
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CEC
2007
IEEE
15 years 4 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
120
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ICONIP
2010
14 years 10 months ago
Exploring Features and Classifiers to Classify MicroRNA Expression Profiles of Human Cancer
Recently, some non-coding small RNAs, known as microRNAs (miRNA), have drawn a lot of attention to identify their role in gene regulation and various biological processes. The miRN...
Kyung-Joong Kim, Sung-Bae Cho
132
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BMCBI
2007
140views more  BMCBI 2007»
15 years 23 days ago
Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...
Michael Gormley, William Dampier, Adam Ertel, Bilg...