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BMCBI
2007
194views more  BMCBI 2007»
14 years 11 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
133views more  BMCBI 2008»
14 years 11 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...
BMCBI
2007
157views more  BMCBI 2007»
14 years 11 months ago
Impact of image segmentation on high-content screening data quality for SK-BR-3 cells
Background: High content screening (HCS) is a powerful method for the exploration of cellular signalling and morphology that is rapidly being adopted in cancer research. HCS uses ...
Andrew A. Hill, Peter LaPan, Yizheng Li, Steve Han...
BMCBI
2007
135views more  BMCBI 2007»
14 years 11 months ago
Sequence similarity is more relevant than species specificity in probabilistic backtranslation
Background: Backtranslation is the process of decoding a sequence of amino acids into the corresponding codons. All synthetic gene design systems include a backtranslation module....
Alfredo Ferro, Rosalba Giugno, Giuseppe Pigola, Al...
BMCBI
2007
197views more  BMCBI 2007»
14 years 11 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park