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Advances in mapping the epigenetic modifications of 5‐methylcytosine (5mC), N6‐methyladenine (6mA), and N4‐methylcytosine (4mC)

Biotechnology and bioengineering, 2021-11, Vol.118 (11), p.4204-4216

2021

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DeepKla: An attention mechanism‐based deep neural network for protein lysine lactylation site prediction

iMeta, 2022-03, Vol.1 (1), p.e11-n/a

2022

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Identifying Phage Virion Proteins by Using Two-Step Feature Selection Methods

Molecules (Basel, Switzerland), 2018-08, Vol.23 (8), p.2000

2018

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Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique

International journal of molecular sciences, 2022-01, Vol.23 (3), p.1251

2022

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Erratum for “Advances in mapping the epigenetic modifications of 5‐methylcytosine (5mC), N6‐methyladenine (6mA), and N4‐methylcytosine (4mC)” (Vol. 118, Issue 11, pp. 4204–4216)

Biotechnology and bioengineering, 2022-04, Vol.119 (4), p.1171-1171

2022

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Recent Advances in Conotoxin Classification by Using Machine Learning Methods

Molecules (Basel, Switzerland), 2017-06, Vol.22 (7), p.1057

2017

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Computational identification of N6-methyladenosine sites in multiple tissues of mammals

Computational and structural biotechnology journal, 2020-01, Vol.18, p.1084-1091

2020

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A Survey for Predicting Enzyme Family Classes Using Machine Learning Methods

Current drug targets, 2019-01, Vol.20 (5), p.540-550

2019

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iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes

iScience, 2020-04, Vol.23 (4), p.100991-100991, Article 100991

2020

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iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice

Frontiers in genetics, 2019-09, Vol.10, p.793-793

2019

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iThermo: A Sequence-Based Model for Identifying Thermophilic Proteins Using a Multi-Feature Fusion Strategy

Frontiers in microbiology, 2022-02, Vol.13, p.790063-790063

2022

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Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning Method

Frontiers in bioengineering and biotechnology, 2020-03, Vol.8, p.254-254

2020

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Identification of cyclin protein using gradient boost decision tree algorithm

Computational and structural biotechnology journal, 2021-01, Vol.19, p.4123-4131

2021

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Accurate Identification of DNA Replication Origin by Fusing Epigenomics and Chromatin Interaction Information

Research (Washington), 2022, Vol.2022, p.9780293-9780293

2022

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Early Diagnosis of Pancreatic Ductal Adenocarcinoma by Combining Relative Expression Orderings With Machine-Learning Method

Frontiers in cell and developmental biology, 2020-10, Vol.8, p.582864-582864

2020

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A computational framework for identifying the transcription factors involved in enhancer-promoter loop formation

Molecular therapy. Nucleic acids, 2021-03, Vol.23, p.347-354

2021

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A Brief Review of the Computational Identification of Antifreeze Protein

Current organic chemistry, 2019-01, Vol.23 (15), p.1671-1680

2019

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iPhoPred: A Predictor for Identifying Phosphorylation Sites in Human Protein

IEEE access, 2019, Vol.7, p.177517-177528

2019

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Recent Advances on the Machine Learning Methods in Identifying DNA Replication Origins in Eukaryotic Genomics

Frontiers in genetics, 2018-12, Vol.9, p.613-613

2018

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Recent Development of Computational Predicting Bioluminescent Proteins

Current pharmaceutical design, 2019-01, Vol.25 (40), p.4264-4273

2019

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Identification of Potential Inhibitors Against SARS-CoV-2 Using Computational Drug Repurposing Study

Current bioinformatics, 2021-12, Vol.16 (10), p.1320-1327

2021

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AcrPred: A hybrid optimization with enumerated machine learning algorithm to predict Anti-CRISPR proteins

International journal of biological macromolecules, 2023-02, Vol.228, p.706-714

2023

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PPD: A Manually Curated Database for Experimentally Verified Prokaryotic Promoters

Journal of molecular biology, 2021-05, Vol.433 (11), p.166860-166860, Article 166860

2021

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Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli

Methods (San Diego, Calif.), 2022-07, Vol.203, p.558-563

2022

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BDselect: A Package for k -mer Selection Based on the Binomial Distribution

Current bioinformatics, 2022-03, Vol.17 (3), p.238-244

2022

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Advances in mapping the epigenetic modifications of 5‐methylcytosine (5mC), N6‐methyladenine (6mA), and N4‐methylcytosine (4mC)

DeepKla: An attention mechanism‐based deep neural network for protein lysine lactylation site prediction

Identifying Phage Virion Proteins by Using Two-Step Feature Selection Methods

Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique

Erratum for “Advances in mapping the epigenetic modifications of 5‐methylcytosine (5mC), N6‐methyladenine (6mA), and N4‐methylcytosine (4mC)” (Vol. 118, Issue 11, pp. 4204–4216)

Recent Advances in Conotoxin Classification by Using Machine Learning Methods

Computational identification of N6-methyladenosine sites in multiple tissues of mammals

A Survey for Predicting Enzyme Family Classes Using Machine Learning Methods

iDNA-MS: An Integrated Computational Tool for Detecting DNA Modification Sites in Multiple Genomes

iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice

iThermo: A Sequence-Based Model for Identifying Thermophilic Proteins Using a Multi-Feature Fusion Strategy

Early Diagnosis of Hepatocellular Carcinoma Using Machine Learning Method

Identification of cyclin protein using gradient boost decision tree algorithm

Accurate Identification of DNA Replication Origin by Fusing Epigenomics and Chromatin Interaction Information

Early Diagnosis of Pancreatic Ductal Adenocarcinoma by Combining Relative Expression Orderings With Machine-Learning Method

A computational framework for identifying the transcription factors involved in enhancer-promoter loop formation

A Brief Review of the Computational Identification of Antifreeze Protein

iPhoPred: A Predictor for Identifying Phosphorylation Sites in Human Protein

Recent Advances on the Machine Learning Methods in Identifying DNA Replication Origins in Eukaryotic Genomics

Recent Development of Computational Predicting Bioluminescent Proteins

Identification of Potential Inhibitors Against SARS-CoV-2 Using Computational Drug Repurposing Study

AcrPred: A hybrid optimization with enumerated machine learning algorithm to predict Anti-CRISPR proteins

PPD: A Manually Curated Database for Experimentally Verified Prokaryotic Promoters

Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli

BDselect: A Package for k -mer Selection Based on the Binomial Distribution

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