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Structure Analysis and Antioxidant Activity of a Novel Polysaccharide from Katan Seeds

BioMed research international, 2021, Vol.2021, p.6349019-13

2021

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Network-Based Pharmacology and Bioinformatics Study on the Mechanism of Action of Gujiansan in the Treatment of Steroid-Induced Avascular Necrosis of the Femoral Head

BioMed research international, 2022-07, Vol.2022, p.1-17

2022

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Existence of a positive solution to Kirchhoff type problems without compactness conditions

Journal of Differential Equations, 2012-10, Vol.253 (7), p.2285-2294

2012

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DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites

Briefings in bioinformatics, 2021-05, Vol.22 (3)

2021

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iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences

Bioinformatics, 2018-07, Vol.34 (14), p.2499-2502

2018

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PreAcrs: a machine learning framework for identifying anti-CRISPR proteins

BMC bioinformatics, 2022-10, Vol.23 (1), p.1-444, Article 444

2022

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iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

Briefings in bioinformatics, 2020-05, Vol.21 (3), p.1047-1057

2020

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An Interpretable Prediction Model for Identifying N7-Methylguanosine Sites Based on XGBoost and SHAP

Molecular therapy. Nucleic acids, 2020-12, Vol.22, p.362-372

2020

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GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome

Bioinformatics, 2015-05, Vol.31 (9), p.1411-1419

2015

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E-Commerce and Industrial Upgrading in the Chinese Apparel Value Chain

Journal of contemporary Asia, 2019-01, Vol.49 (1), p.24-53

2019

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DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites

Bioinformatics, 2020-02, Vol.36 (4), p.1057-1065

2020

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Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome

Bioinformatics, 2018-12, Vol.34 (24), p.4223-4231

2018

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iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites

Briefings in bioinformatics, 2019-03, Vol.20 (2), p.638-658

2019

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MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters

Bioinformatics (Oxford, England), 2019-09, Vol.35 (17), p.2957-2965

2019

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Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework

Briefings in bioinformatics, 2021-03, Vol.22 (2), p.2126-2140

2021

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A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction

Briefings in bioinformatics, 2020-07, Vol.21 (4), p.1119-1135

2020

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iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets

Nucleic acids research, 2022-07, Vol.50 (W1), p.W434

2022

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Positive-unlabelled learning of glycosylation sites in the human proteome

BMC bioinformatics, 2019-03, Vol.20 (1), p.112-112, Article 112

2019

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Large-scale comparative assessment of computational predictors for lysine post-translational modification sites

Briefings in bioinformatics, 2019-11, Vol.20 (6), p.2267-2290

2019

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Ground states of nonlinear Schrödinger equation on star metric graphs

Journal of mathematical analysis and applications, 2018-03, Vol.459 (2), p.661-685

2018

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Formator: Predicting Lysine Formylation Sites Based on the Most Distant Undersampling and Safe-Level Synthetic Minority Oversampling

IEEE/ACM transactions on computational biology and bioinformatics, 2021-09, Vol.18 (5), p.1937-1945

2021

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GlycoMinestruct: a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features

Scientific reports, 2016-10, Vol.6 (1), p.34595-34595, Article 34595

2016

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Staem5: A novel computational approachfor accurate prediction of m5C site

Molecular therapy. Nucleic acids, 2021-12, Vol.26, p.1027-1034

2021

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Positive-unlabeled learning in bioinformatics and computational biology: a brief review

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

2022

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A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction

IEEE/ACM transactions on computational biology and bioinformatics, 2021-09, Vol.18 (5), p.1801-1810

2021

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Structure Analysis and Antioxidant Activity of a Novel Polysaccharide from Katan Seeds

Network-Based Pharmacology and Bioinformatics Study on the Mechanism of Action of Gujiansan in the Treatment of Steroid-Induced Avascular Necrosis of the Femoral Head

Existence of a positive solution to Kirchhoff type problems without compactness conditions

DeepTorrent: a deep learning-based approach for predicting DNA N4-methylcytosine sites

iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences

PreAcrs: a machine learning framework for identifying anti-CRISPR proteins

iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data

An Interpretable Prediction Model for Identifying N7-Methylguanosine Sites Based on XGBoost and SHAP

GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome

E-Commerce and Industrial Upgrading in the Chinese Apparel Value Chain

DeepCleave: a deep learning predictor for caspase and matrix metalloprotease substrates and cleavage sites

Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome

iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites

MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters

Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework

A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction

iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets

Positive-unlabelled learning of glycosylation sites in the human proteome

Large-scale comparative assessment of computational predictors for lysine post-translational modification sites

Ground states of nonlinear Schrödinger equation on star metric graphs

Formator: Predicting Lysine Formylation Sites Based on the Most Distant Undersampling and Safe-Level Synthetic Minority Oversampling

GlycoMinestruct: a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features

Staem5: A novel computational approachfor accurate prediction of m5C site

Positive-unlabeled learning in bioinformatics and computational biology: a brief review

A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction

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