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Ensembling multiple raw coevolutionary features with deep residual neural networks for contact‐map prediction in CASP13

Proteins, structure, function, and bioinformatics, 2019-12, Vol.87 (12), p.1082-1091

2019

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Protein inter‐residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14

Proteins, structure, function, and bioinformatics, 2021-12, Vol.89 (12), p.1911-1921

2021

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The fundamental performance of FAST with 19-beam receiver at L band

Research in astronomy and astrophysics, 2020-05, Vol.20 (5), p.64

2020

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ATPbind: Accurate Protein–ATP Binding Site Prediction by Combining Sequence-Profiling and Structure-Based Comparisons

Journal of chemical information and modeling, 2018-02, Vol.58 (2), p.501-510

2018

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TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree

Journal of computer-aided molecular design, 2020-08, Vol.34 (8), p.841-856

2020

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Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction

PLoS computational biology, 2022-12, Vol.18 (12), p.e1010793-e1010793

2022

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Robust Least Squares Twin Support Vector Regression With Adaptive FOA and PSO for Short-Term Traffic Flow Prediction

IEEE transactions on intelligent transportation systems, 2022-09, Vol.23 (9), p.14542-14556

2022

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cpxDeepMSA: A Deep Cascade Algorithm for Constructing Multiple Sequence Alignments of Protein–Protein Interactions

International journal of molecular sciences, 2022-07, Vol.23 (15), p.8459

2022

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Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks

PLoS computational biology, 2021-03, Vol.17 (3), p.e1008865-e1008865

2021

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Protein–protein interaction sites prediction by ensembling SVM and sample-weighted random forests

Neurocomputing (Amsterdam), 2016-06, Vol.193, p.201-212

2016

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ASCENT: Active Supervision for Semi-Supervised Learning

IEEE transactions on knowledge and data engineering, 2020-05, Vol.32 (5), p.868-882

2020

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Prediction of Multiple Types of RNA Modifications via Biological Language Model

IEEE/ACM transactions on computational biology and bioinformatics, 2023-09, Vol.20 (5), p.3205-3214

2023

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Sequence‐based Detection of DNA‐binding Proteins using Multiple‐view Features Allied with Feature Selection

Molecular informatics, 2020-08, Vol.39 (8), p.e2000006-n/a

2020

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SP-GAN: Self-Growing and Pruning Generative Adversarial Networks

IEEE transaction on neural networks and learning systems, 2021-06, Vol.32 (6), p.2458-2469

2021

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Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion

Briefings in bioinformatics, 2022-01, Vol.23 (1)

2022

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TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning

IEEE/ACM transactions on computational biology and bioinformatics, 2020-07, Vol.17 (4), p.1419-1429

2020

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DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies

IEEE/ACM transactions on computational biology and bioinformatics, 2022-09, Vol.19 (5), p.2749-2759

2022

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GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference

Briefings in bioinformatics, 2024-01, Vol.25 (2)

2024

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Manipulation of photosynthetic energy transfer by vibrational strong coupling

The Journal of chemical physics, 2024-01, Vol.160 (4)

2024

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MINDG: a drug–target interaction prediction method based on an integrated learning algorithm

Bioinformatics (Oxford, England), 2024-03, Vol.40 (4)

2024

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Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion

Machine learning, 2019-06, Vol.108 (6), p.993-1018

2019

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Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs

IEEE/ACM transactions on computational biology and bioinformatics, 2017-11, Vol.14 (6), p.1389-1398

2017

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Prediction of protein-ATP binding residues using multi-view feature learning via contextual-based co-attention network

Computers in biology and medicine, 2024-04, Vol.172, p.108227-108227, Article 108227

2024

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CPInformer for Efficient and Robust Compound-Protein Interaction Prediction

IEEE/ACM transactions on computational biology and bioinformatics, 2023-01, Vol.20 (1), p.285-296

2023

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A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data

IEEE/ACM transactions on computational biology and bioinformatics, 2018-07, Vol.15 (4), p.1315-1324

2018

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Ensembling multiple raw coevolutionary features with deep residual neural networks for contact‐map prediction in CASP13

Protein inter‐residue contact and distance prediction by coupling complementary coevolution features with deep residual networks in CASP14

The fundamental performance of FAST with 19-beam receiver at L band

ATPbind: Accurate Protein–ATP Binding Site Prediction by Combining Sequence-Profiling and Structure-Based Comparisons

TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree

Integrating unsupervised language model with triplet neural networks for protein gene ontology prediction

Robust Least Squares Twin Support Vector Regression With Adaptive FOA and PSO for Short-Term Traffic Flow Prediction

cpxDeepMSA: A Deep Cascade Algorithm for Constructing Multiple Sequence Alignments of Protein–Protein Interactions

Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks

Protein–protein interaction sites prediction by ensembling SVM and sample-weighted random forests

ASCENT: Active Supervision for Semi-Supervised Learning

Prediction of Multiple Types of RNA Modifications via Biological Language Model

Sequence‐based Detection of DNA‐binding Proteins using Multiple‐view Features Allied with Feature Selection

SP-GAN: Self-Growing and Pruning Generative Adversarial Networks

Prediction of disease-associated nsSNPs by integrating multi-scale ResNet models with deep feature fusion

TargetDBP: Accurate DNA-Binding Protein Prediction Via Sequence-Based Multi-View Feature Learning

DeepCPPred: A Deep Learning Framework for the Discrimination of Cell-Penetrating Peptides and Their Uptake Efficiencies

GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference

Manipulation of photosynthetic energy transfer by vibrational strong coupling

MINDG: a drug–target interaction prediction method based on an integrated learning algorithm

Efficient and robust TWSVM classification via a minimum L1-norm distance metric criterion

Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs

Prediction of protein-ATP binding residues using multi-view feature learning via contextual-based co-attention network

CPInformer for Efficient and Robust Compound-Protein Interaction Prediction

A Self-Training Subspace Clustering Algorithm under Low-Rank Representation for Cancer Classification on Gene Expression Data

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