Sciweavers

262 search results - page 38 / 53
» Protein secondary structure prediction using neural networks
Sort
View
ISMB
1994
13 years 9 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
BMCBI
2007
94views more  BMCBI 2007»
13 years 7 months ago
A structural analysis of in vitro catalytic activities of hammerhead ribozymes
Background: Ribozymes are small catalytic RNAs that possess the dual functions of sequencespecific RNA recognition and site-specific cleavage. Trans-cleaving ribozymes can inhibit...
Yu Shao, Susan Wu, Chi Yu Chan, Jessie R. Klapper,...
NN
2007
Springer
162views Neural Networks» more  NN 2007»
13 years 7 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
DNA
2007
Springer
107views Bioinformatics» more  DNA 2007»
14 years 2 months ago
Autonomous Programmable Nanorobotic Devices Using DNAzymes
Abstract. A major challenge in nanoscience is the design of synthetic molecular devices that run autonomously and are programmable. DNA-based synthetic molecular devices have the a...
John H. Reif, Sudheer Sahu
ICANN
2001
Springer
14 years 9 days ago
The Importance of Representing Cognitive Processes in Multi-agent Models
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
Bruce Edmonds, Scott Moss