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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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Prediction of aptamer–protein interacting pairs based on sparse autoencoder feature extraction and an ensemble classifier

Mathematical biosciences, 2019-05, Vol.311, p.103-108

2019

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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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A high-accuracy protein structural class prediction algorithm using predicted secondary structural information

Journal of theoretical biology, 2010-12, Vol.267 (3), p.272-275

2010

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Prediction of protein S-nitrosylation sites based on adapted normal distribution bi-profile Bayes and Chou's pseudo amino acid composition

International journal of molecular sciences, 2014-06, Vol.15 (6), p.10410-10423

2014

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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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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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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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NeuroCNN_GNB: an ensemble model to predict neuropeptides based on a convolution neural network and Gaussian naive Bayes

Frontiers in genetics, 2023-07, Vol.14, p.1226905-1226905

2023

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An efficient deep learning based predictor for identifying miRNA-triggered phasiRNA loci in plant

Mathematical biosciences and engineering : MBE, 2023-02, Vol.20 (4), p.6853-6865

2023

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4mCPred: machine learning methods for DNA N4-methylcytosine sites prediction

Bioinformatics, 2019-02, Vol.35 (4), p.593-601

2019

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GNet: An integrated context-aware neural framework for transcription factor binding signal at single nucleotide resolution prediction

Mathematical biosciences and engineering : MBE, 2023-01, Vol.20 (9), p.15809-15829

2023

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SPREAD: An ensemble predictor based on DNA autoencoder framework for discriminating promoters in Pseudomonas aeruginosa

Mathematical biosciences and engineering : MBE, 2022-01, Vol.19 (12), p.13294-13305

2022

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Recognition of Protein Pupylation Sites by Adopting Resampling Approach

Molecules (Basel, Switzerland), 2018-11, Vol.23 (12), p.3097

2018

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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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EnsemPseU: Identifying Pseudouridine Sites With an Ensemble Approach

IEEE access, 2020, Vol.8, p.79376-79382

2020

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EnhancerPred: a predictor for discovering enhancers based on the combination and selection of multiple features

Scientific reports, 2016-12, Vol.6 (1), p.38741-38741, Article 38741

2016

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UPFPSR: a ubiquitylation predictor for plant through combining sequence information and random forest

Mathematical biosciences and engineering : MBE, 2022-01, Vol.19 (1), p.775-791

2022

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S-SulfPred: A sensitive predictor to capture S-sulfenylation sites based on a resampling one-sided selection undersampling-synthetic minority oversampling technique

Journal of theoretical biology, 2017-06, Vol.422, p.84-89

2017

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DephosSitePred: A High Accuracy Predictor for Protein Dephosphorylation Sites

Combinatorial chemistry & high throughput screening, 2017-02, Vol.20 (2), p.153

2017

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O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique

Bioinformatics, 2018-06, Vol.34 (12), p.2029-2036

2018

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EnhancerPred2.0: predicting enhancers and their strength based on position-specific trinucleotide propensity and electron-ion interaction potential feature selection

Molecular bioSystems, 2017-03, Vol.13 (4), p.767-774

2017

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NucPosPred: Predicting species-specific genomic nucleosome positioning via four different modes of general PseKNC

Journal of theoretical biology, 2018-08, Vol.450, p.15-21

2018

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Computational Prediction of Protein O-GlcNAc Modification

Methods in molecular biology (Clifton, N.J.), 2018, Vol.1754, p.235

2018

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Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach

Briefings in bioinformatics, 2021-07, Vol.22 (4)

2021

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

Prediction of aptamer–protein interacting pairs based on sparse autoencoder feature extraction and an ensemble classifier

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

A high-accuracy protein structural class prediction algorithm using predicted secondary structural information

Prediction of protein S-nitrosylation sites based on adapted normal distribution bi-profile Bayes and Chou's pseudo amino acid composition

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

Staem5: A novel computational approachfor accurate prediction of m5C site

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

NeuroCNN_GNB: an ensemble model to predict neuropeptides based on a convolution neural network and Gaussian naive Bayes

An efficient deep learning based predictor for identifying miRNA-triggered phasiRNA loci in plant

4mCPred: machine learning methods for DNA N4-methylcytosine sites prediction

GNet: An integrated context-aware neural framework for transcription factor binding signal at single nucleotide resolution prediction

SPREAD: An ensemble predictor based on DNA autoencoder framework for discriminating promoters in Pseudomonas aeruginosa

Recognition of Protein Pupylation Sites by Adopting Resampling Approach

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

EnsemPseU: Identifying Pseudouridine Sites With an Ensemble Approach

EnhancerPred: a predictor for discovering enhancers based on the combination and selection of multiple features

UPFPSR: a ubiquitylation predictor for plant through combining sequence information and random forest

S-SulfPred: A sensitive predictor to capture S-sulfenylation sites based on a resampling one-sided selection undersampling-synthetic minority oversampling technique

DephosSitePred: A High Accuracy Predictor for Protein Dephosphorylation Sites

O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique

EnhancerPred2.0: predicting enhancers and their strength based on position-specific trinucleotide propensity and electron-ion interaction potential feature selection

NucPosPred: Predicting species-specific genomic nucleosome positioning via four different modes of general PseKNC

Computational Prediction of Protein O-GlcNAc Modification

Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach

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