SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides.
about
Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate.Identification of Inhibitors of MMPS Enzymes via a Novel Computational Approach.Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree.iGHBP: Computational identification of growth hormone binding proteins from sequences using extremely randomised tree
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SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides.
description
2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
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2017年学术文章
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2017年学术文章
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name
SkipCPP-Pred: an improved and ...... ing cell-penetrating peptides.
@en
SkipCPP-Pred: an improved and ...... ing cell-penetrating peptides.
@nl
type
label
SkipCPP-Pred: an improved and ...... ing cell-penetrating peptides.
@en
SkipCPP-Pred: an improved and ...... ing cell-penetrating peptides.
@nl
prefLabel
SkipCPP-Pred: an improved and ...... ing cell-penetrating peptides.
@en
SkipCPP-Pred: an improved and ...... ing cell-penetrating peptides.
@nl
P2860
P1433
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SkipCPP-Pred: an improved and ...... ing cell-penetrating peptides.
@en
P2093
Jijun Tang
P2860
P2888
P356
10.1186/S12864-017-4128-1
P407
P433
P577
2017-10-16T00:00:00Z
P6179
1092238391