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BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
13 years 5 months ago
What should be expected from feature selection in small-sample settings
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
Chao Sima, Edward R. Dougherty
CVPR
2004
IEEE
14 years 7 months ago
Feature Selection for Classifying High-Dimensional Numerical Data
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
Yimin Wu, Aidong Zhang
BMCBI
2008
108views more  BMCBI 2008»
13 years 5 months ago
Signature Evaluation Tool (SET): a Java-based tool to evaluate and visualize the sample discrimination abilities of gene express
Background: The identification of specific gene expression signature for distinguishing sample groups is a dominant field in cancer research. Although a number of tools have been ...
Chih-Hung Jen, Tsun-Po Yang, Chien-Yi Tung, Shu-Ha...
BMCBI
2008
155views more  BMCBI 2008»
13 years 5 months ago
Extending pathways based on gene lists using InterPro domain signatures
Background: High-throughput technologies like functional screens and gene expression analysis produce extended lists of candidate genes. Gene-Set Enrichment Analysis is a commonly...
Florian Hahne, Alexander Mehrle, Dorit Arlt, Annem...
BMCBI
2010
92views more  BMCBI 2010»
13 years 5 months ago
Integrating gene expression and GO classification for PCA by preclustering
Background: Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per g...
Jorn R. de Haan, Ester Piek, René C. van Sc...