An Ensemble Classifier with Random Projection for Predicting Protein–Protein Interactions Using Sequence and Evolutionary Information

PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein–Protein Interactions from Protein Sequences

(2017) Yanbin Wang et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Predicting protein–protein interactions from protein sequences by a stacked sparse autoencoder deep neural network

(2017) Yan-Bin Wang et al.   Molecular BioSystems

Neighbor Affinity-Based Core-Attachment Method to Detect Protein Complexes in Dynamic PPI Networks

(2017) et al.   MOLECULES

Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM

(2017) Yan-Bin Wang et al.   MOLECULES

Simplified Swarm Optimization-Based Function Module Detection in Protein–Protein Interaction Networks

(2017) Xianghan Zheng et al.   Applied Sciences-Basel

Protein Sub-Nuclear Localization Based on Effective Fusion Representations and Dimension Reduction Algorithm LDA

(2015) Shunfang Wang et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Prediction of Protein Structural Class Based on Gapped-Dipeptides and a Recursive Feature Selection Approach

(2015) Taigang Liu et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein Sequence

(2015) Yu-An Huang et al.   Biomed Research International

Predicting Protein-Protein Interactions from Primary Protein Sequences Using a Novel Multi-Scale Local Feature Representation Scheme and the Random Forest

(2015) Zhu-Hong You et al.   PLoS One

Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

(2014) Zhu-Hong You et al.   BMC BIOINFORMATICS

A MapReduce based parallel SVM for large-scale predicting protein–protein interactions

(2014) Zhu-Hong You et al.   NEUROCOMPUTING

An Empirical Study of Different Approaches for Protein Classification

(2014) Loris Nanni et al.   TheScientificWorldJOURNAL

Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis

(2013) Zhu-Hong You et al.   BMC BIOINFORMATICS

The origins of the evolutionary signal used to predict protein-protein interactions

(2012) Lakshmipuram S Swapna et al.   BMC EVOLUTIONARY BIOLOGY

Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM

(2012) Shengli Zhang et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

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

Large-scale prediction of protein-protein interactions from structures

(2010) Martial Hue et al.   BMC BIOINFORMATICS

High performance set of PseAAC and sequence based descriptors for protein classification

(2010) Loris Nanni et al.   JOURNAL OF THEORETICAL BIOLOGY

A study of entropy/clarity of genetic sequences using metric spaces and fuzzy sets

(2010) D.N. Georgiou et al.   JOURNAL OF THEORETICAL BIOLOGY

Operons

(2009) Anne E. Osbourn et al.   CELLULAR AND MOLECULAR LIFE SCIENCES

Accurate prediction of protein–protein interactions from sequence alignments using a Bayesian method

(2008) Lukas Burger et al.   Molecular Systems Biology

Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences

(2008) Yanzhi Guo et al.   NUCLEIC ACIDS RESEARCH