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DATE
2009
IEEE
168views Hardware» more  DATE 2009»
16 years 1 months ago
Selective state retention design using symbolic simulation
Abstract—Addressing both standby and active power is a major challenge in developing System-on-Chip designs for batterypowered products. Powering off sections of logic or memorie...
Ashish Darbari, Bashir M. Al-Hashimi, David Flynn,...
ESANN
2006
15 years 7 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
BMCBI
2008
100views more  BMCBI 2008»
15 years 6 months ago
Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen p
Background: T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherap...
Guanglan Zhang, Asif M. Khan, Kellathur N. Sriniva...
BMCBI
2007
110views more  BMCBI 2007»
15 years 6 months ago
Selection of long oligonucleotides for gene expression microarrays using weighted rank-sum strategy
Background: The design of long oligonucleotides for spotted DNA microarrays requires detailed attention to ensure their optimal performance in the hybridization process. The main ...
Guangan Hu, Manuel Llinás, Jingguang Li, Pe...
BMCBI
2004
205views more  BMCBI 2004»
15 years 6 months ago
A combinational feature selection and ensemble neural network method for classification of gene expression data
Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma