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» Redundancy based feature selection for microarray data
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BMCBI
2006
136views more  BMCBI 2006»
14 years 9 months ago
Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
Background: The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultane...
Raja Loganantharaj, Satish Cheepala, John Clifford
TNN
2008
119views more  TNN 2008»
14 years 9 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
BMCBI
2008
146views more  BMCBI 2008»
14 years 10 months ago
EST Express: PHP/MySQL based automated annotation of ESTs from expression libraries
Background: Several biological techniques result in the acquisition of functional sets of cDNAs that must be sequenced and analyzed. The emergence of redundant databases such as U...
Robin P. Smith, William J. Buchser, Marcus B. Lemm...
AIA
2007
14 years 11 months ago
A stability index for feature selection
Sequential forward selection (SFS) is one of the most widely used feature selection procedures. It starts with an empty set and adds one feature at each step. The estimate of the ...
Ludmila I. Kuncheva
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
14 years 7 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu