Computational phosphorylation site prediction in plants using random forests and organism-specific instance weights.
about
Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data.Improving the performance of protein kinase identification via high dimensional protein-protein interactions and substrate structure data.A Synthetic Kinome Microarray Data GeneratorKnowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sitesIntegrating phosphoproteomics in systems biology.CarSPred: a computational tool for predicting carbonylation sites of human proteins.RF-Phos: A Novel General Phosphorylation Site Prediction Tool Based on Random Forest.Plant genome and transcriptome annotations: from misconceptions to simple solutions.Prediction of protein kinase-specific phosphorylation sites in hierarchical structure using functional information and random forest.An ensemble method approach to investigate kinase-specific phosphorylation sites.A novel method for predicting post-translational modifications on serine and threonine sites by using site-modification network profiles.Prediction of kinase-substrate relations based on heterogeneous networks.Recent Advances in Substrate Identification of Protein Kinases in Plants and Their Role in Stress Management.Prediction and analysis of cell-penetrating peptides using pseudo-amino acid composition and random forest models.ksrMKL: a novel method for identification of kinase-substrate relationships using multiple kernel learning.ADPRtool: A novel predicting model for identification of ASP-ADP-Ribosylation sites of human proteins.
P2860
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P2860
Computational phosphorylation site prediction in plants using random forests and organism-specific instance weights.
description
2013 nî lūn-bûn
@nan
2013年の論文
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2013年学术文章
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2013年学术文章
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2013年学术文章
@zh-hans
2013年学术文章
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2013年学术文章
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name
Computational phosphorylation ...... ism-specific instance weights.
@en
Computational phosphorylation ...... ism-specific instance weights.
@nl
type
label
Computational phosphorylation ...... ism-specific instance weights.
@en
Computational phosphorylation ...... ism-specific instance weights.
@nl
prefLabel
Computational phosphorylation ...... ism-specific instance weights.
@en
Computational phosphorylation ...... ism-specific instance weights.
@nl
P2860
P356
P1433
P1476
Computational phosphorylation ...... ism-specific instance weights.
@en
P2093
Brett Trost
P2860
P304
P356
10.1093/BIOINFORMATICS/BTT031
P407
P577
2013-01-22T00:00:00Z