Sciweavers

ISMB
1993
13 years 5 months ago
Inference of Order in Genetic Systems
Wesurvey and discuss issues required of intelligent systems to support research efforts in locus mapping. In particular wefocus on the issues of order, on howone can automate the ...
John N. Guidi, Thomas H. Roderick
ISMB
1993
13 years 5 months ago
Protein Classification Using Neural Networks
Wehave recently described a method based on Artificial Neural Networksto cluster protein sequences into families. The network was trained with Kohonen’s unsupervised-learning al...
Edgardo A. Ferrán, Pascual Ferrara, Bernard...
ISMB
1993
13 years 5 months ago
Grammatical Formalization of Metabolic Processes
In the field of biotechnologyand medicineit is of interest to modeland simulate metabolicprocesses. The usual methods to model metabolic pathwaysare chemicaldescriptions anddiffer...
Ralf Hofestädt
ISMB
1993
13 years 5 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 5 months ago
Protein Secondary-Structure Modeling with Probabilistic Networks
Arthur L. Delcher, Simon Kasif, Harry R. Goldberg,...
ISMB
1993
13 years 5 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
ISMB
1993
13 years 5 months ago
The Induction of Rules for Predicting Chemical Carcinogenesis in Rodents
This paper presents results from an ongoing effort in applying a variety of induction-based methods to the problem of predicting the biological activity of noncongeneric (structu...
Dennis Bahler, Douglas W. Bristol
ISMB
1993
13 years 5 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 5 months ago
Probabilistic Structure Calculations: A Three-Dimensional tRNA Structure from Sequence Correlation Data
Algorithmsbasedonprobability theorycanaddressissues of uncertainty directly throughtheir representational frameworkandtheir theoryfor data combination.In this paper, wediscuss the...
Russ B. Altman