BetAware is a web server for TransMembrane β-Barrel (TMBB) detection and topology prediction. Both prediction steps are based on advanced machine-learning methods. For TMBB detection, BetAware exploits a new machine learning approach based on N-to-1 Extreme Learning Machines, while TMBB topology prediction is carried-out using a probabilistic model based on Grammatical-Restrained Hidden Conditional Random Fields, a discriminative framework introduced to address sequence labelling tasks in Bioinformatics..
Castrense Savojardo, Piero Fariselli, Rita Casadio (2013). BETAWARE: a machine-learning tool to detect and predict transmembrane beta barrel proteins in Prokaryotes. Bioinformatics 29:504-505 (2013).
BETAWARE: a machine-learning tool to detect and predict transmembrane beta barrel proteins in Prokaryotes. Bioinformatics 29:504-505 (2013)
SAVOJARDO, CASTRENSE;FARISELLI, PIERO;CASADIO, RITA
2013
Abstract
BetAware is a web server for TransMembrane β-Barrel (TMBB) detection and topology prediction. Both prediction steps are based on advanced machine-learning methods. For TMBB detection, BetAware exploits a new machine learning approach based on N-to-1 Extreme Learning Machines, while TMBB topology prediction is carried-out using a probabilistic model based on Grammatical-Restrained Hidden Conditional Random Fields, a discriminative framework introduced to address sequence labelling tasks in Bioinformatics..I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.