Prediction of protein kinase-specific phosphorylation sites in hierarchical structure using functional information and random forest
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Prediction of protein kinase-specific phosphorylation sites in hierarchical structure using functional information and random forest
Authors
Keywords
Phosphorylation, Hierarchical structure, Functional information, Random forest
Journal
AMINO ACIDS
Volume 46, Issue 4, Pages 1069-1078
Publisher
Springer Nature
Online
2014-01-22
DOI
10.1007/s00726-014-1669-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Computational phosphorylation site prediction in plants using random forests and organism-specific instance weights
- (2013) B. Trost et al. BIOINFORMATICS
- Age-dependent increases in tau phosphorylation in the brains of type 2 diabetic rats correlate with a reduced expression of p62
- (2013) Hyun-Jung Jung et al. EXPERIMENTAL NEUROLOGY
- Construction of human activity-based phosphorylation networks
- (2013) R. H. Newman et al. Molecular Systems Biology
- Reconstruction and Analysis of Transcription Factor–miRNA Co-Regulatory Feed-Forward Loops in Human Cancers Using Filter-Wrapper Feature Selection
- (2013) Chen Peng et al. PLoS One
- Nuclear Localization of p38 MAPK in Response to DNA Damage
- (2012) C. David Wood et al. International Journal of Biological Sciences
- A genome-wide association study of Alzheimer’s disease using random forests and enrichment analysis
- (2012) Liang Zou et al. Science China-Life Sciences
- Predicting protein sumoylation sites from sequence features
- (2011) Shaolei Teng et al. AMINO ACIDS
- Methods for investigation of targeted kinase inhibitor therapy using chemical proteomics and phosphorylation profiling
- (2010) Bin Fang et al. BIOCHEMICAL PHARMACOLOGY
- Maximal conditional chi-square importance in random forests
- (2010) Minghui Wang et al. BIOINFORMATICS
- CD-HIT Suite: a web server for clustering and comparing biological sequences
- (2010) Ying Huang et al. BIOINFORMATICS
- Sex Differences in the Phosphorylation of Mitochondrial Proteins Result in Reduced Production of Reactive Oxygen Species and Cardioprotection in Females
- (2010) Claudia J. Lagranha et al. CIRCULATION RESEARCH
- Musite, a Tool for Global Prediction of General and Kinase-specific Phosphorylation Sites
- (2010) Jianjiong Gao et al. MOLECULAR & CELLULAR PROTEOMICS
- Phospho.ELM: a database of phosphorylation sites--update 2011
- (2010) H. Dinkel et al. NUCLEIC ACIDS RESEARCH
- Identifying Human Kinase-Specific Protein Phosphorylation Sites by Integrating Heterogeneous Information from Various Sources
- (2010) Tingting Li et al. PLoS One
- Predicting sulfotyrosine sites using the random forest algorithm with significantly improved prediction accuracy
- (2009) Zheng Yang BMC BIOINFORMATICS
- Willows: a memory efficient tree and forest construction package
- (2009) Heping Zhang et al. BMC BIOINFORMATICS
- GPS 2.0, a Tool to Predict Kinase-specific Phosphorylation Sites in Hierarchy
- (2008) Yu Xue et al. MOLECULAR & CELLULAR PROTEOMICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started