A survey of current trends in computational predictions of protein-protein interactions

PCLPred: A Bioinformatics Method for Predicting Protein–Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation

(2018) Li-Ping Li et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Prediction of Protein-Protein Interactions from Amino Acid Sequences Based on Continuous and Discrete Wavelet Transform Features

(2018) Tao Wang et al.   MOLECULES

A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information

(2018) Hai-Cheng Yi et al.   Molecular Therapy-Nucleic Acids

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

(2018) Xiao-Yu Song et al.   Applied Sciences-Basel

A syntactic path-based hybrid neural network for negation scope detection

(2018) Lydia Lazib et al.   Frontiers of Computer Science

Extracting Coevolutionary Features from Protein Sequences for Predicting Protein-Protein Interactions

(2017) Lun Hu et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

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

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

(2017) Yan-Bin Wang et al.   MOLECULES

A survey of neural network accelerators

(2017) Zhen Li et al.   Frontiers of Computer Science

Predicting protein-protein interactions via multivariate mutual information of protein sequences

(2016) Yijie Ding et al.   BMC BIOINFORMATICS

An Empirical Study of Features Fusion Techniques for Protein-Protein Interaction Prediction

(2016) Jiancang Zeng et al.   Current Bioinformatics

Learnware: on the future of machine learning

(2016) Zhi-Hua Zhou   Frontiers of Computer Science

Using the Relevance Vector Machine Model Combined with Local Phase Quantization to Predict Protein-Protein Interactions from Protein Sequences

(2016) Ji-Yong An et al.   Biomed Research International

Quantum Support Vector Machine for Big Data Classification

(2014) Patrick Rebentrost et al.   PHYSICAL REVIEW LETTERS

Structural information aware deep semi-supervised recurrent neural network for sentiment analysis

(2014) Wenge Rong et al.   Frontiers of Computer Science

Inferring homologous protein-protein interactions through pair position specific scoring matrix

(2013) Chun-Yu Lin et al.   BMC BIOINFORMATICS

PPIevo : Protein–protein interaction prediction from PSSM based evolutionary information

(2013) Javad Zahiri et al.   GENOMICS

The BioGRID interaction database: 2013 update

(2012) Andrew Chatr-aryamontri et al.   NUCLEIC ACIDS RESEARCH

Prediction of Protein-Protein Interactions from Protein Sequence Using Local Descriptors

(2010) Lei Yang et al.   PROTEIN AND PEPTIDE LETTERS

$n$-SIFT: $n$-Dimensional Scale Invariant Feature Transform

(2009) W. Cheung et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A Hu moment invariant as a shape circularity measure

(2009) Joviša Žunić et al.   PATTERN RECOGNITION

Speeded-Up Robust Features (SURF)

(2008) Herbert Bay et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Aircraft recognition in infrared image using wavelet moment invariants

(2008) Feng Zhang et al.   IMAGE AND VISION COMPUTING

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

(2008) Yanzhi Guo et al.   NUCLEIC ACIDS RESEARCH

An overview of quantum computation models: quantum automata

(2008) Daowen Qiu et al.   Frontiers of Computer Science in China