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» A framework for modelling virus gene expression data
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PSB
2004
15 years 2 months ago
Phylogenetic Motif Detection by Expectation-Maximization on Evolutionary Mixtures
ct The preferential conservation of transcription factor binding sites implies that non-coding sequence data from related species will prove a powerful asset to motif discovery. We...
Alan M. Moses, Derek Y. Chiang, Michael B. Eisen
BMCBI
2006
124views more  BMCBI 2006»
15 years 24 days ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...
BMCBI
2007
153views more  BMCBI 2007»
15 years 26 days ago
MPHASYS: a mouse phenotype analysis system
Background: Systematic, high-throughput studies of mouse phenotypes have been hampered by the inability to analyze individual animal data from a multitude of sources in an integra...
R. Brent Calder, Rudolf B. Beems, Harry van Steeg,...
RECOMB
2003
Springer
16 years 1 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge
154
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WFLP
2009
Springer
277views Algorithms» more  WFLP 2009»
15 years 7 months ago
Termination of Context-Sensitive Rewriting with Built-In Numbers and Collection Data Structures
Context-sensitive rewriting is a restriction of rewriting that can be used to elegantly model declarative specification and programming languages such as Maude. Furthermore, it ca...
Stephan Falke, Deepak Kapur