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» Multiplicative Background Risk
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90
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BMCBI
2007
126views more  BMCBI 2007»
15 years 26 days ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
BMCBI
2007
147views more  BMCBI 2007»
15 years 26 days ago
Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
Scott D. Zuyderduyn
BMCBI
2008
228views more  BMCBI 2008»
15 years 26 days ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
79
Voted
BMCBI
2007
99views more  BMCBI 2007»
15 years 26 days ago
Flexible mapping of homology onto structure with Homolmapper
Background: Over the past decade, a number of tools have emerged for the examination of homology relationships among protein sequences in a structural context. Most recent softwar...
Nathan C. Rockwell, J. Clark Lagarias
110
Voted
BMCBI
2008
145views more  BMCBI 2008»
15 years 26 days ago
Directed acyclic graph kernels for structural RNA analysis
Background: Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel ...
Kengo Sato, Toutai Mituyama, Kiyoshi Asai, Yasubum...