Protein binding site prediction by combining hidden Markov support vector machine and profile-based propensities.
about
Automatic generation of bioinformatics tools for predicting protein-ligand binding sitesProgress and challenges in predicting protein interfacesSurvey of Natural Language Processing Techniques in Bioinformatics.Development of a machine learning method to predict membrane protein-ligand binding residues using basic sequence information.iMiRNA-SSF: Improving the Identification of MicroRNA Precursors by Combining Negative Sets with Different Distributions.Protein Remote Homology Detection Based on an Ensemble Learning Approach.
P2860
Protein binding site prediction by combining hidden Markov support vector machine and profile-based propensities.
description
2014 nî lūn-bûn
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2014年の論文
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2014年学术文章
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2014年学术文章
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2014年学术文章
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2014年学术文章
@zh-hans
2014年学术文章
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2014年学术文章
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2014年學術文章
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2014年學術文章
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name
Protein binding site predictio ...... nd profile-based propensities.
@en
Protein binding site predictio ...... nd profile-based propensities.
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type
label
Protein binding site predictio ...... nd profile-based propensities.
@en
Protein binding site predictio ...... nd profile-based propensities.
@nl
prefLabel
Protein binding site predictio ...... nd profile-based propensities.
@en
Protein binding site predictio ...... nd profile-based propensities.
@nl
P2093
P2860
P356
P1476
Protein binding site predictio ...... nd profile-based propensities.
@en
P2093
Bingquan Liu
Xiaolong Wang
P2860
P304
P356
10.1155/2014/464093
P407
P577
2014-07-14T00:00:00Z