Comparison of probabilistic combination methods for protein secondary structure prediction.
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How many 3D structures do we need to train a predictor?Survey of Natural Language Processing Techniques in Bioinformatics.Sixty-five years of the long march in protein secondary structure prediction: the final stretch?Prediction of protein binding sites in protein structures using hidden Markov support vector machine.VIPR: A probabilistic algorithm for analysis of microbial detection microarrays.Protein secondary structure prediction using NMR chemical shift data.Improving protein secondary structure prediction using a simple k-mer model.Improved sequence-based prediction of strand residues.Protein-protein interaction site prediction based on conditional random fields.Prediction of One-Dimensional Structural Properties Of Proteins by Integrated Neural Networks
P2860
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P2860
Comparison of probabilistic combination methods for protein secondary structure prediction.
description
2004 nî lūn-bûn
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2004年の論文
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2004年学术文章
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2004年学术文章
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name
Comparison of probabilistic co ...... econdary structure prediction.
@en
Comparison of probabilistic co ...... econdary structure prediction.
@nl
type
label
Comparison of probabilistic co ...... econdary structure prediction.
@en
Comparison of probabilistic co ...... econdary structure prediction.
@nl
prefLabel
Comparison of probabilistic co ...... econdary structure prediction.
@en
Comparison of probabilistic co ...... econdary structure prediction.
@nl
P356
P1433
P1476
Comparison of probabilistic co ...... econdary structure prediction.
@en
P2093
Vanathi Gopalakrishnan
P304
P356
10.1093/BIOINFORMATICS/BTH370
P407
P577
2004-06-24T00:00:00Z