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» Inferring Hidden Causal Structure
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ECCB
2008
IEEE
14 years 4 months ago
Connect the dots: exposing hidden protein family connections from the entire sequence tree
Motivation: Mapping of remote evolutionary links is a classic computational problem of much interest. Relating protein families allows for functional and structural inference on u...
Yaniv Loewenstein, Michal Linial
NIPS
1996
13 years 11 months ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey
FSTTCS
1998
Springer
14 years 2 months ago
A Synchronous Semantics of Higher-Order Processes for Modeling Reconfigurable Reactive Systems
Abstract. Synchronous languages are well suited for the design of dependable real-time systems: they enable a very high-level specification and an extremely modular implementation ...
Jean-Pierre Talpin, David Nowak
WABI
2007
Springer
110views Bioinformatics» more  WABI 2007»
14 years 3 months ago
Haplotype Inference Via Hierarchical Genotype Parsing
The within-species genetic variation due to recombinations leads to a mosaic-like structure of DNA. This structure can be modeled, e.g. by parsing sample sequences of current DNA w...
Pasi Rastas, Esko Ukkonen
BMCBI
2004
177views more  BMCBI 2004»
13 years 9 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu