Semi-supervised prediction of SH2-peptide interactions from imbalanced high-throughput data.
about
The development and application of a quantitative peptide microarray based approach to protein interaction domain specificity spaceMoDPepInt: an interactive web server for prediction of modular domain-peptide interactionsA multiscale statistical mechanical framework integrates biophysical and genomic data to assemble cancer networksCluster based prediction of PDZ-peptide interactionsAn empirical study of ensemble-based semi-supervised learning approaches for imbalanced splice site datasets.Rosette Assay: Highly Customizable Dot-Blot for SH2 Domain Screening.Introduction: History of SH2 Domains and Their Applications.An Efficient Semi-supervised Learning Approach to Predict SH2 Domain Mediated Interactions.Structure-based prediction of protein-peptide binding regions using Random Forest.Freiburg RNA tools: a central online resource for RNA-focused research and teaching.LMDIPred: A web-server for prediction of linear peptide sequences binding to SH3, WW and PDZ domainsProteomic Analysis of NCK1/2 Adaptors Uncovers Paralog-specific Interactions That Reveal a New Role for NCK2 in Cell Abscission During Cytokinesis
P2860
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P2860
Semi-supervised prediction of SH2-peptide interactions from imbalanced high-throughput data.
description
2013 nî lūn-bûn
@nan
2013 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Semi-supervised prediction of ...... balanced high-throughput data.
@ast
Semi-supervised prediction of ...... balanced high-throughput data.
@en
Semi-supervised prediction of ...... balanced high-throughput data.
@nl
type
label
Semi-supervised prediction of ...... balanced high-throughput data.
@ast
Semi-supervised prediction of ...... balanced high-throughput data.
@en
Semi-supervised prediction of ...... balanced high-throughput data.
@nl
prefLabel
Semi-supervised prediction of ...... balanced high-throughput data.
@ast
Semi-supervised prediction of ...... balanced high-throughput data.
@en
Semi-supervised prediction of ...... balanced high-throughput data.
@nl
P2860
P50
P1433
P1476
Semi-supervised prediction of ...... mbalanced high-throughput data
@en
P2093
Michael Reth
P2860
P304
P356
10.1371/JOURNAL.PONE.0062732
P407
P577
2013-05-17T00:00:00Z