The importance of larger data sets for protein secondary structure prediction with neural networks.
about
Application of multiple sequence alignment profiles to improve protein secondary structure predictionHow many 3D structures do we need to train a predictor?StrBioLib: a Java library for development of custom computational structural biology applications.Bayesian probabilistic approach for predicting backbone structures in terms of protein blocks.Prediction by a neural network of outer membrane beta-strand protein topology.Prediction of the location and type of beta-turns in proteins using neural networks.A graphic approach to evaluate algorithms of secondary structure prediction.
P2860
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P2860
The importance of larger data sets for protein secondary structure prediction with neural networks.
description
1996 nî lūn-bûn
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1996年の論文
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1996年学术文章
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1996年学术文章
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1996年学术文章
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1996年学术文章
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1996年学术文章
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1996年學術文章
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1996年學術文章
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1996年學術文章
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name
The importance of larger data ...... ediction with neural networks.
@ast
The importance of larger data ...... ediction with neural networks.
@en
type
label
The importance of larger data ...... ediction with neural networks.
@ast
The importance of larger data ...... ediction with neural networks.
@en
prefLabel
The importance of larger data ...... ediction with neural networks.
@ast
The importance of larger data ...... ediction with neural networks.
@en
P2860
P356
P1433
P1476
The importance of larger data ...... ediction with neural networks.
@en
P2093
Chandonia JM
P2860
P304
P356
10.1002/PRO.5560050422
P577
1996-04-01T00:00:00Z