Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble

mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines

(2012) Shibiao Wan et al.   BMC BIOINFORMATICS

Prediction of Apoptosis Protein Locations with Genetic Algorithms and Support Vector Machines Through a New Mode of Pseudo Amino Acid Composition

(2012) Krishna Kumar Kandaswamy et al.   PROTEIN AND PEPTIDE LETTERS

iLoc-Gpos: A Multi-Layer Classifier for Predicting the Subcellular Localization of Singleplex and Multiplex Gram-Positive Bacterial Proteins

(2012) Zhi-Cheng Wu et al.   PROTEIN AND PEPTIDE LETTERS

Prediction of GABAA receptor proteins using the concept of Chou's pseudo-amino acid composition and support vector machine

(2011) Hassan Mohabatkar et al.   JOURNAL OF THEORETICAL BIOLOGY

iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites

(2011) Kuo-Chen Chou et al.   Molecular BioSystems

PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes

(2010) Nancy Y. Yu et al.   BIOINFORMATICS

Supersecondary structure prediction using Chou's pseudo amino acid composition

(2010) Dongsheng Zou et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

Gneg-mPLoc: A top-down strategy to enhance the quality of predicting subcellular localization of Gram-negative bacterial proteins

(2010) Hong-Bin Shen et al.   JOURNAL OF THEORETICAL BIOLOGY

GPCR-2L: predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions

(2010) Xuan Xiao et al.   Molecular BioSystems

Using the Concept of Chous Pseudo Amino Acid Composition to Predict Enzyme Family Classes: An Approach with Support Vector Machine Based on Discrete Wavelet Transform

(2010) Jian-Ding Qiu et al.   PROTEIN AND PEPTIDE LETTERS

An assessment of false discovery rates and statistical significance in label-free quantitative proteomics with combined filters

(2009) Qingbo Li et al.   BMC BIOINFORMATICS

MultiLoc2: integrating phylogeny and Gene Ontology terms improves subcellular protein localization prediction

(2009) Torsten Blum et al.   BMC BIOINFORMATICS

SherLoc2: A High-Accuracy Hybrid Method for Predicting Subcellular Localization of Proteins

(2009) Sebastian Briesemeister et al.   JOURNAL OF PROTEOME RESEARCH

Prediction of Protein Secondary Structure Content by Using the Concept of Chous Pseudo Amino Acid Composition and Support Vector Machine

(2009) Chao Chen et al.   PROTEIN AND PEPTIDE LETTERS

Gpos-mPLoc: A Top-Down Approach to Improve the Quality of Predicting Subcellular Localization of Gram-Positive Bacterial Proteins

(2009) Hong-Bin Shen et al.   PROTEIN AND PEPTIDE LETTERS

ProLoc-GO: Utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization

(2008) Wen-Lin Huang et al.   BMC BIOINFORMATICS

Using the Concept of Chous Pseudo Amino Acid Composition to Predict Apoptosis Proteins Subcellular Location: An Approach by Approximate Entropy

(2008) Xiaoying Jian et al.   PROTEIN AND PEPTIDE LETTERS