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» Dimensionality Reduction for Classification
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BMCBI
2010
122views more  BMCBI 2010»
13 years 9 months ago
An automated framework for understanding structural variations in the binding grooves of MHC class II molecules
Background: MHC/HLA class II molecules are important components of the immune system and play a critical role in processes such as phagocytosis. Understanding peptide recognition ...
Kalidas Yeturu, Tapani Utriainen, Graham J. L. Kem...
BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
13 years 9 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
ENGL
2007
180views more  ENGL 2007»
13 years 9 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
BMCBI
2005
121views more  BMCBI 2005»
13 years 9 months ago
Evaluation of gene importance in microarray data based upon probability of selection
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
Li M. Fu, Casey S. Fu-Liu
PAMI
2000
142views more  PAMI 2000»
13 years 9 months ago
Evolutionary Pursuit and Its Application to Face Recognition
Abstract-- This paper introduces Evolutionary Pursuit (EP) as a novel and adaptive representation method for image encoding and classification. In analogy to projection pursuit met...
Chengjun Liu, Harry Wechsler