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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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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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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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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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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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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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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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Manipulation of photosynthetic energy transfer by vibrational strong coupling

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

2024

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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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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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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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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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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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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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TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level

Briefings in bioinformatics, 2023-05, Vol.24 (3)

2023

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A new supervised over-sampling algorithm with application to protein-nucleotide binding residue prediction

PloS one, 2014-09, Vol.9 (9), p.e107676

2014

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MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network

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

2022

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MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction

Briefings in bioinformatics, 2022-09, Vol.23 (5)

2022

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Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction

Computers in biology and medicine, 2023-11, Vol.166, p.107529-107529, Article 107529

2023

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Genesis of the Daping Gold Deposit in the Middle Xuefeng Mountain Area, Southern China: Constraints from Geochemistry, Fluid Inclusion, and H-O-S Isotope

Geofluids, 2022, Vol.2022, p.1-22

2022

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Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering

IEEE/ACM transactions on computational biology and bioinformatics, 2013-07, Vol.10 (4), p.994-1008

2013

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Front‐line treatment efficacy and clinical outcomes of elderly patients with multiple myeloma in a real‐world setting: A multicenter retrospective study in China

Cancer medicine (Malden, MA), 2023-02, Vol.12 (3), p.3101-3111

2023

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Real‐world treatment and outcome patterns of patients with mantle cell lymphoma in China: A large, multicenter retrospective analysis

Cancer medicine (Malden, MA), 2023-06, Vol.12 (12), p.13204-13216

2023

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MutTMPredictor: Robust and accurate cascade XGBoost classifier for prediction of mutations in transmembrane proteins

Computational and structural biotechnology journal, 2021-01, Vol.19, p.6400-6416

2021

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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

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

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

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

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

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

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

Manipulation of photosynthetic energy transfer by vibrational strong coupling

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

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

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

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

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

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

TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level

A new supervised over-sampling algorithm with application to protein-nucleotide binding residue prediction

MAResNet: predicting transcription factor binding sites by combining multi-scale bottom-up and top-down attention and residual network

MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction

Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction

Genesis of the Daping Gold Deposit in the Middle Xuefeng Mountain Area, Southern China: Constraints from Geochemistry, Fluid Inclusion, and H-O-S Isotope

Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering

Front‐line treatment efficacy and clinical outcomes of elderly patients with multiple myeloma in a real‐world setting: A multicenter retrospective study in China

Real‐world treatment and outcome patterns of patients with mantle cell lymphoma in China: A large, multicenter retrospective analysis

MutTMPredictor: Robust and accurate cascade XGBoost classifier for prediction of mutations in transmembrane proteins

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