SeqSVM: A Sequence-Based Support Vector Machine Method for Identifying Antioxidant Proteins

70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features

(2018) Wenying He et al.   BMC Systems Biology

Discriminating Ramos and Jurkat Cells with Image Textures from Diffraction Imaging Flow Cytometry Based on a Support Vector Machine

(2018) Ning Zhang et al.   Current Bioinformatics

A Novel Hybrid Sequence-Based Model for Identifying Anticancer Peptides

(2018) Lei Xu et al.   Genes

Sequence-based predictive modeling to identify cancerlectins

(2017) Hong-Yan Lai et al.   Oncotarget

iRNA-PseColl: Identifying the Occurrence Sites of Different RNA Modifications by Incorporating Collective Effects of Nucleotides into PseKNC

(2017) Pengmian Feng et al.   Molecular Therapy-Nucleic Acids

2L-piRNA: A Two-Layer Ensemble Classifier for Identifying Piwi-Interacting RNAs and Their Function

(2017) Bin Liu et al.   Molecular Therapy-Nucleic Acids

Prediction of lncRNA-protein interactions using HeteSim scores based on heterogeneous networks

(2017) Yun Xiao et al.   Scientific Reports

AOD: the antioxidant protein database

(2017) Pengmian Feng et al.   Scientific Reports

Classification of cancers based on copy number variation landscapes

(2016) Ning Zhang et al.   BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS

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

(2016) Quan Zou et al.   BMC Systems Biology

MethyRNA: a web server for identification of N6-methyladenosine sites

(2016) Wei Chen et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

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

(2016) Quan Zou et al.   NEUROCOMPUTING

iACP: a sequence-based tool for identifying anticancer peptides

(2016) Wei Chen et al.   Oncotarget

Identification of Bacterial Cell Wall Lyases via Pseudo Amino Acid Composition

(2016) Xin-Xin Chen et al.   Biomed Research International

Identification of Secretory Proteins inMycobacterium tuberculosisUsing Pseudo Amino Acid Composition

(2016) Huan Yang et al.   Biomed Research International

MultiP-SChlo: multi-label protein subchloroplast localization prediction with Chou’s pseudo amino acid composition and a novel multi-label classifier

(2015) Xiao Wang et al.   BIOINFORMATICS

Prediction of protein subcellular localization by incorporating multiobjective PSO-based feature subset selection into the general form of Chou’s PseAAC

(2015) Monalisa Mandal et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

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

Identifying Antioxidant Proteins by Using Optimal Dipeptide Compositions

(2015) Pengmian Feng et al.   Interdisciplinary Sciences-Computational Life Sciences

Identification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach

(2015) Bin Liu et al.   PLoS One

SNPdryad: predicting deleterious non-synonymous human SNPs using only orthologous protein sequences

(2014) Ka-Chun Wong et al.   BIOINFORMATICS

iNuc-PseKNC: a sequence-based predictor for predicting nucleosome positioning in genomes with pseudo k-tuple nucleotide composition

(2014) Shou-Hui Guo et al.   BIOINFORMATICS

iUbiq-Lys: prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a gray system model

(2014) Wang-Ren Qiu et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

MutationTaster2: mutation prediction for the deep-sequencing age

(2014) Jana Marie Schwarz et al.   NATURE METHODS

iPro54-PseKNC: a sequence-based predictor for identifying sigma-54 promoters in prokaryote with pseudo k-tuple nucleotide composition

(2014) Hao Lin et al.   NUCLEIC ACIDS RESEARCH

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

(2014) Lei Deng et al.   NUCLEIC ACIDS RESEARCH

iDNA-Prot|dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition

(2014) Bin Liu et al.   PLoS One

iSS-PseDNC: Identifying Splicing Sites Using Pseudo Dinucleotide Composition

(2014) Wei Chen et al.   Biomed Research International

iHSP-PseRAAAC: Identifying the heat shock protein families using pseudo reduced amino acid alphabet composition

(2013) Peng-Mian Feng et al.   ANALYTICAL BIOCHEMISTRY

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

(2013) Bin Liu et al.   BIOINFORMATICS

Identification of Antioxidants from Sequence Information Using Naïve Bayes

(2013) Peng-Mian Feng et al.   Computational and Mathematical Methods in Medicine

iRSpot-PseDNC: identify recombination spots with pseudo dinucleotide composition

(2013) Wei Chen et al.   NUCLEIC ACIDS RESEARCH

CD-HIT: accelerated for clustering the next-generation sequencing data

(2012) Limin Fu et al.   BIOINFORMATICS

The prediction of protein structural class using averaged chemical shifts

(2012) Hao Lin et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

Random Forest classification based on star graph topological indices for antioxidant proteins

(2012) Enrique Fernández-Blanco et al.   JOURNAL OF THEORETICAL BIOLOGY

Computational prediction and analysis of protein γ-carboxylation sites based on a random forest method

(2012) Ning Zhang et al.   Molecular BioSystems

Identifying Bacterial Virulent Proteins by Fusing a Set of Classifiers Based on Variants of Chou's Pseudo Amino Acid Composition and on Evolutionary Information

(2011) Loris Nanni et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Some remarks on protein attribute prediction and pseudo amino acid composition

(2010) Kuo-Chen Chou   JOURNAL OF THEORETICAL BIOLOGY

An optimization approach to predicting protein structural class from amino acid composition

(2010) Chun-Ting Zhang et al.   PROTEIN SCIENCE

Prediction of the parallel/antiparallel orientation of beta-strands using amino acid pairing preferences and support vector machines

(2009) Ning Zhang et al.   JOURNAL OF THEORETICAL BIOLOGY

Using the concept of Chou's pseudo amino acid composition for risk type prediction of human papillomaviruses

(2009) Maryam Esmaeili et al.   JOURNAL OF THEORETICAL BIOLOGY