Predicting cancerlectins by the optimal g-gap dipeptides.
about
Identifying anticancer peptides by using improved hybrid compositionsPredicting the Types of Ion Channel-Targeted Conotoxins Based on AVC-SVM Model.Improved Species-Specific Lysine Acetylation Site Prediction Based on a Large Variety of Features Set.Protein Remote Homology Detection Based on an Ensemble Learning Approach.Identification of apolipoprotein using feature selection technique.IonchanPred 2.0: A Tool to Predict Ion Channels and Their Types.An evolution-based DNA-binding residue predictor using a dynamic query-driven learning scheme.Sequence-based predictive modeling to identify cancerlectins.Predicting the Organelle Location of Noncoding RNAs Using Pseudo Nucleotide Compositions.EnhancerPred2.0: predicting enhancers and their strength based on position-specific trinucleotide propensity and electron-ion interaction potential feature selection.SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides.Identifying RNA 5-methylcytosine sites via pseudo nucleotide compositions.A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique.PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine.iRNA-3typeA: Identifying Three Types of Modification at RNA's Adenosine Sites.HBPred: a tool to identify growth hormone-binding proteins.iRSpot-Pse6NC: Identifying recombination spots in Saccharomyces cerevisiae by incorporating hexamer composition into general PseKNC.Identification of Bacteriophage Virion Proteins Using Multinomial Naïve Bayes with g-Gap Feature Tree.Classifying Included and Excluded Exons in Exon Skipping Event Using Histone Modifications
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P2860
Predicting cancerlectins by the optimal g-gap dipeptides.
description
2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
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2015年學術文章
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name
Predicting cancerlectins by the optimal g-gap dipeptides.
@ast
Predicting cancerlectins by the optimal g-gap dipeptides.
@en
type
label
Predicting cancerlectins by the optimal g-gap dipeptides.
@ast
Predicting cancerlectins by the optimal g-gap dipeptides.
@en
prefLabel
Predicting cancerlectins by the optimal g-gap dipeptides.
@ast
Predicting cancerlectins by the optimal g-gap dipeptides.
@en
P2093
P2860
P356
P1433
P1476
Predicting cancerlectins by the optimal g-gap dipeptides
@en
P2093
P2860
P2888
P356
10.1038/SREP16964
P407
P50
P577
2015-12-09T00:00:00Z