388 search results - page 73 / 78 » Learning Methods for DNA Binding in Computational Biology |
154
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ISMB
1994
15 years 6 months ago
1994
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 ...
284
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RECOMB
2011
Springer
14 years 8 months ago
2011
Springer
Motivation. Current approaches to RNA structure prediction range from physics-based methods, which rely on thousands of experimentally-measured thermodynamic parameters, to machin...
192
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CONSTRAINTS
2008
15 years 5 months ago
2008
Bioinformatics aims at applying computer science methods to the wealth of data collected in a variety of experiments in life sciences (e.g. cell and molecular biology, biochemistry...
154
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BMCBI
2008
15 years 5 months ago
2008
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
138
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RECOMB
2009
Springer
16 years 6 months ago
2009
Springer
The combination of fully sequence genomes and new technologies for high density arrays and ultra-rapid sequencing enables the mapping of generegulatory and epigenetics marks on a g...