GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome.
about
Impact of glycosylation on the unimpaired functions of the spermProtein post-translational modifications: In silico prediction tools and molecular modeling.iSulf-Cys: Prediction of S-sulfenylation Sites in Proteins with Physicochemical Properties of Amino Acids.Prediction of aptamer-protein interacting pairs using an ensemble classifier in combination with various protein sequence attributesA machine learning strategy for predicting localization of post-translational modification sites in protein-protein interacting regionsGlycoMine(struct): a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features.PhosphoPredict: A bioinformatics tool for prediction of human kinase-specific phosphorylation substrates and sites by integrating heterogeneous feature selection.Novel "extended sequons" of human N-glycosylation sites improve the precision of qualitative predictions: an alignment-free study of pattern recognition using ProtDCal protein features.Critical evaluation of bioinformatics tools for the prediction of protein crystallization propensity.Prediction of N-linked glycosylation sites using position relative features and statistical moments.JMJD8 is a novel endoplasmic reticulum protein with a JmjC domain.Discriminating cirRNAs from other lncRNAs using a hierarchical extreme learning machine (H-ELM) algorithm with feature selection.DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forest.PhosContext2vec: a distributed representation of residue-level sequence contexts and its application to general and kinase-specific phosphorylation site prediction.PTM-ssMP: A Web Server for Predicting Different Types of Post-translational Modification Sites Using Novel Site-specific Modification Profile.Implications of Newly Identified Brain eQTL Genes and Their Interactors in Schizophrenia.IDP⁻CRF: Intrinsically Disordered Protein/Region Identification Based on Conditional Random Fields
P2860
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P2860
GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome.
description
2015 nî lūn-bûn
@nan
2015 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
GlycoMine: a machine learning- ...... ylation in the human proteome.
@ast
GlycoMine: a machine learning- ...... ylation in the human proteome.
@en
type
label
GlycoMine: a machine learning- ...... ylation in the human proteome.
@ast
GlycoMine: a machine learning- ...... ylation in the human proteome.
@en
prefLabel
GlycoMine: a machine learning- ...... ylation in the human proteome.
@ast
GlycoMine: a machine learning- ...... ylation in the human proteome.
@en
P2860
P50
P356
P1433
P1476
GlycoMine: a machine learning- ...... ylation in the human proteome.
@en
P2093
Mingjun Wang
Yang Zhang
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU852
P407
P577
2015-01-06T00:00:00Z