HPSLPred: An Ensemble Multi-Label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source

Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy

(2016) Quan Zou et al.   BMC Systems Biology

mGOF-loc: A novel ensemble learning method for human protein subcellular localization prediction

(2016) Leyi Wei et al.   NEUROCOMPUTING

A novel features ranking metric with application to scalable visual and bioinformatics data classification

(2016) Quan Zou et al.   NEUROCOMPUTING

A computational interactome and functional annotation for the human proteome

(2016) José Ignacio Garzón et al.   eLife

An Integrated Framework for Functional Annotation of Protein Structural Domains

(2015) Lei Deng et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences

(2015) Bin Liu et al.   NUCLEIC ACIDS RESEARCH

repDNA: a Python package to generate various modes of feature vectors for DNA sequences by incorporating user-defined physicochemical properties and sequence-order effects

(2014) Bin Liu et al.   BIOINFORMATICS

Review of Protein Subcellular Localization Prediction

(2014) Zhen Wang et al.   Current Bioinformatics

PredHS: a web server for predicting protein–protein interaction hot spots by using structural neighborhood properties

(2014) Lei Deng et al.   NUCLEIC ACIDS RESEARCH

Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection

(2013) Bin Liu et al.   BIOINFORMATICS

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

(2013) Victoria López et al.   INFORMATION SCIENCES

Some remarks on protein attribute prediction and pseudo amino acid composition

(2010) Kuo-Chen Chou   JOURNAL OF THEORETICAL BIOLOGY

A New Method for Predicting the Subcellular Localization of Eukaryotic Proteins with Both Single and Multiple Sites: Euk-mPLoc 2.0

(2010) Kuo-Chen Chou et al.   PLoS One

Prediction of Subcellular Location of Apoptosis Proteins Using Pseudo Amino Acid Composition: An Approach from Auto Covariance Transformation

(2010) Taigang Liu et al.   PROTEIN AND PEPTIDE LETTERS

Prediction of Subcellular Localization of Apoptosis Protein Using Chou’s Pseudo Amino Acid Composition

(2009) Hao Lin et al.   ACTA BIOTHEORETICA

A top-down approach to enhance the power of predicting human protein subcellular localization: Hum-mPLoc 2.0

(2009) Hong-Bin Shen et al.   ANALYTICAL BIOCHEMISTRY

A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation

(2009) Qiwen Dong et al.   BIOINFORMATICS

Exploring the Function-Location Nexus: Using Multiple Lines of Evidence in Defining the Subcellular Location of Plant Proteins

(2009) A. H. Millar et al.   PLANT CELL

Using Chou’s pseudo amino acid composition to predict subcellular localization of apoptosis proteins: An approach with immune genetic algorithm-based ensemble classifier

(2008) Yong-Sheng Ding et al.   PATTERN RECOGNITION LETTERS

Predicting Subcellular Localization of Mycobacterial Proteins by Using Chous Pseudo Amino Acid Composition

(2008) Hao Lin et al.   PROTEIN AND PEPTIDE LETTERS

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

Predicting Protein Subcellular Location Using Chous Pseudo Amino Acid Composition and Improved Hybrid Approach

(2008) Feng-Min Li et al.   PROTEIN AND PEPTIDE LETTERS