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BMCBI
2007
194views more  BMCBI 2007»
13 years 7 months ago
Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
Xin Zhao, Leo Wang-Kit Cheung
BMCBI
2008
130views more  BMCBI 2008»
13 years 7 months ago
A novel series of compositionally biased substitution matrices for comparing Plasmodium proteins
Background: The most common substitution matrices currently used (BLOSUM and PAM) are based on protein sequences with average amino acid distributions, thus they do not represent ...
Kevin Brick, Elisabetta Pizzi
BMCBI
2010
151views more  BMCBI 2010»
13 years 7 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon
BMCBI
2008
105views more  BMCBI 2008»
13 years 7 months ago
Novel computational methods for increasing PCR primer design effectiveness in directed sequencing
Background: Polymerase chain reaction (PCR) is used in directed sequencing for the discovery of novel polymorphisms. As the first step in PCR directed sequencing, effective PCR pr...
Kelvin Li, Anushka Brownley, Timothy B. Stockwell,...
BMCBI
2008
133views more  BMCBI 2008»
13 years 7 months ago
MS-DOCK: Accurate multiple conformation generator and rigid docking protocol for multi-step virtual ligand screening
Background: The number of protein targets with a known or predicted tri-dimensional structure and of drug-like chemical compounds is growing rapidly and so is the need for new the...
Nicolas Sauton, David Lagorce, Bruno O. Villoutrei...