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FLAIRS
2010
13 years 9 months ago
Meta-Prediction for Collective Classification
When data instances are inter-related, as are nodes in a social network or hyperlink graph, algorithms for collective classification (CC) can significantly improve accuracy. Recen...
Luke McDowell, Kalyan Moy Gupta, David W. Aha
NAR
2007
91views more  NAR 2007»
13 years 7 months ago
RNABindR: a server for analyzing and predicting RNA-binding sites in proteins
Understanding interactions between proteins and RNA is key to deciphering the mechanisms of many important biological processes. Here we describe RNABindR, a web-based server that...
Michael Terribilini, Jeffry D. Sander, Jae-Hyung L...
BMCBI
2008
85views more  BMCBI 2008»
13 years 7 months ago
Predicted mouse peroxisome-targeted proteins and their actual subcellular locations
Background: The import of most intraperoxisomal proteins is mediated by peroxisome targeting signals at their C-termini (PTS1) or N-terminal regions (PTS2). Both signals have been...
Yumi Mizuno, Igor Kurochkin, Marlis Herberth, Yasu...
BMCBI
2010
123views more  BMCBI 2010»
13 years 2 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
AIPS
2008
13 years 9 months ago
What Makes Planners Predictable?
In recent work we showed that models constructed from planner performance data over a large suite of benchmark problems are surprisingly accurate; 91-99% accuracy for success and ...
Mark Roberts, Adele E. Howe, Brandon Wilson, Marie...