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ISMB
1993
13 years 7 months ago
Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families
A Bayesian method for estimating the amino acid distributions in the states of a hidden Markov model (HMM) for a protein familyor the columns of a multiple alignment of that famil...
Michael Brown, Richard Hughey, Anders Krogh, I. Sa...
ISMB
1993
13 years 7 months ago
Finding Relevant Biomolecular Features
Manymethods for analyzing biological problems are constrained by problemsize. Theability to distinguish betweenrelevant andirrelevant features of a problemmay allowa problemto be ...
Lawrence Hunter, Teri E. Klein
ISMB
1993
13 years 7 months ago
Integrating Order and Distance Relationships from Heterogeneous Maps
There is no automatic mechanism to integrate information between heterogeneous genome maps. Currently, integration is a di cult, manual process. We have developed a process for kn...
Mark Graves
ISMB
1993
13 years 7 months ago
Computationally Efficient Cluster Representation in Molecular Sequence Megaclassification
Molecular sequence megaclassification is a technique for automated protein sequence analysis and annotation. Implementation of the method has been limited by the need to store and...
David J. States, Nomi L. Harris, Lawrence Hunter
ISMB
1993
13 years 7 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik