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BMCBI
2007
194views more  BMCBI 2007»
15 years 6 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
2007
100views more  BMCBI 2007»
15 years 6 months ago
PARE: A tool for comparing protein abundance and mRNA expression data
Background: Techniques for measuring protein abundance are rapidly advancing and we are now in a situation where we anticipate many protein abundance data sets will be available i...
Eric Z. Yu, Anne E. Counterman Burba, Mark Gerstei...
BMCBI
2007
140views more  BMCBI 2007»
15 years 6 months ago
From genes to functional classes in the study of biological systems
Background: With the popularisation of high-throughput techniques, the need for procedures that help in the biological interpretation of results has increased enormously. Recently...
Fátima Al-Shahrour, Leonardo Arbiza, Hern&a...
BMCBI
2010
98views more  BMCBI 2010»
15 years 6 months ago
A semi-nonparametric mixture model for selecting functionally consistent proteins
Background: High-throughput technologies have led to a new era of proteomics. Although protein microarray experiments are becoming more common place there are a variety of experim...
Lianbo Yu, R. W. Doerge
BMCBI
2010
129views more  BMCBI 2010»
15 years 6 months ago
Uncovering packaging features of co-regulated modules based on human protein interaction and transcriptional regulatory networks
Background: Network co-regulated modules are believed to have the functionality of packaging multiple biological entities, and can thus be assumed to coordinate many biological fu...
Lina Chen, Hong Wang, Liangcai Zhang, Wan Li, Qian...