Predicting Human Protein Subcellular Locations by the Ensemble of Multiple Predictors via Protein-Protein Interaction Network with Edge Clustering Coefficients
One of the fundamental tasks in biology is to identify the functions of all proteins to reveal the primary machinery of a cell. Knowledge of the subcellular locations of proteins will provide key hints to reveal their functions and to understand the intricate pathways that regulate biological proces...
Main Authors: | Du, Pufeng, Wang, Lusheng |
---|---|
Format: | Online |
Language: | English |
Published: |
Public Library of Science
2014
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3900678/ |
Similar Items
-
Objective Clustering of Proteins Based on Subcellular Location Patterns
by: Chen, Xiang, et al.
Published: (2005) -
Prediction of subcellular location of apoptosis proteins by incorporating PsePSSM and DCCA coefficient based on LFDA dimensionality reduction
by: Bin Yu, et al.
Published: (2018-06-01) -
Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence
by: Du, Pufeng, et al.
Published: (2006) -
SubMito-PSPCP: Predicting Protein Submitochondrial Locations by Hybridizing Positional Specific Physicochemical Properties with Pseudoamino Acid Compositions
by: Du, Pufeng, et al.
Published: (2013) -
Inferring topology from clustering coefficients in protein-protein interaction networks
by: Friedel, Caroline C, et al.
Published: (2006)