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» Protein secondary structure prediction using neural networks
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BMCBI
2006
108views more  BMCBI 2006»
13 years 7 months ago
Gene function classification using Bayesian models with hierarchy-based priors
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
Babak Shahbaba, Radford M. Neal
BMCBI
2004
123views more  BMCBI 2004»
13 years 7 months ago
Interaction profile-based protein classification of death domain
Background: The increasing number of protein sequences and 3D structure obtained from genomic initiatives is leading many of us to focus on proteomics, and to dedicate our experim...
Drew Lett, Michael Hsing, Frederic Pio
BMCBI
2007
126views more  BMCBI 2007»
13 years 8 months ago
High-throughput identification of interacting protein-protein binding sites
Background: With the advent of increasing sequence and structural data, a number of methods have been proposed to locate putative protein binding sites from protein surfaces. Ther...
Jo-Lan Chung, Wei Wang, Philip E. Bourne
AUSAI
2006
Springer
13 years 11 months ago
Robust Character Recognition Using a Hierarchical Bayesian Network
There is increasing evidence to suggest that the neocortex of the mammalian brain does not consist of a collection of specialised and dedicated cortical architectures, but instead ...
John Thornton, Torbjorn Gustafsson, Michael Blumen...
NAR
2011
211views Computer Vision» more  NAR 2011»
12 years 10 months ago
DIMA 3.0: Domain Interaction Map
Domain Interaction MAp (DIMA, available at http:// webclu.bio.wzw.tum.de/dima) is a database of predicted and known interactions between protein domains. It integrates 5807 struct...
Qibin Luo, Philipp Pagel, Baiba Vilne, Dmitrij Fri...