BGFE: A Deep Learning Model for ncRNA-Protein Interaction Predictions Based on Improved Sequence Information

MechRNA: prediction of lncRNA mechanisms from RNA–RNA and RNA–protein interactions

(2018) Alexander R Gawronski et al.   BIOINFORMATICS

Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles

(2018) Yan-Bin Wang et al.   International Journal of Biological Sciences

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

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

Using Two-dimensional Principal Component Analysis and Rotation Forest for Prediction of Protein-Protein Interactions

(2018) Lei Wang et al.   Scientific Reports

Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions

(2018) Lei Wang et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning

(2017) Jian-Qiang Li et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

An improved efficient rotation forest algorithm to predict the interactions among proteins

(2017) Lei Wang et al.   SOFT COMPUTING

PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction

(2017) Zhu-Hong You et al.   PLoS Computational Biology

Highly Efficient Framework for Predicting Interactions Between Proteins

(2017) Zhu-Hong You et al.   IEEE Transactions on Cybernetics

IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction

(2016) Xiaoyong Pan et al.   BMC GENOMICS

Identification of self-interacting proteins by exploring evolutionary information embedded in PSI-BLAST-constructed position specific scoring matrix

(2016) Ji-Yong An et al.   Oncotarget

A Bipartite Network-based Method for Prediction of Long Non-coding RNA–protein Interactions

(2016) Mengqu Ge et al.   GENOMICS PROTEOMICS & BIOINFORMATICS

A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues

(2015) Jing Yan et al.   BRIEFINGS IN BIOINFORMATICS

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information

(2015) V. Suresh et al.   NUCLEIC ACIDS RESEARCH

Sparse auto-encoder based feature learning for human body detection in depth image

(2015) Song-Zhi Su et al.   SIGNAL PROCESSING

LocFuse: Human protein–protein interaction prediction via classifier fusion using protein localization information

(2014) Javad Zahiri et al.   GENOMICS

A Tri-Gram Based Feature Extraction Technique Using Linear Probabilities of Position Specific Scoring Matrix for Protein Fold Recognition

(2014) Kuldip K. Paliwal et al.   IEEE TRANSACTIONS ON NANOBIOSCIENCE

The BioGRID interaction database: 2015 update

(2014) Andrew Chatr-aryamontri et al.   NUCLEIC ACIDS RESEARCH

UniProt: a hub for protein information

(2014)   NUCLEIC ACIDS RESEARCH

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

GENCODE: The reference human genome annotation for The ENCODE Project

(2012) J. Harrow et al.   GENOME RESEARCH

De novo prediction of RNA–protein interactions from sequence information

(2012) Ying Wang et al.   Molecular BioSystems

Predicting RNA-Protein Interactions Using Only Sequence Information

(2011) Usha K Muppirala et al.   BMC BIOINFORMATICS

Towards better accuracy for missing value estimation of epistatic miniarray profiling data by a novel ensemble approach

(2011) Xiao-Yong Pan et al.   GENOMICS

Predicting protein associations with long noncoding RNAs

(2011) Matteo Bellucci et al.   NATURE METHODS

A hybrid discriminative/generative approach to protein fold recognition

(2011) WiesŁaw Chmielnicki et al.   NEUROCOMPUTING

Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition

(2010) Maqsood Hayat et al.   JOURNAL OF THEORETICAL BIOLOGY

Rapid and systematic analysis of the RNA recognition specificities of RNA-binding proteins

(2009) Debashish Ray et al.   NATURE BIOTECHNOLOGY

A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

(2008) Alexander Statnikov et al.   BMC BIOINFORMATICS

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

(2008) Yanzhi Guo et al.   NUCLEIC ACIDS RESEARCH