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DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach

Briefings in bioinformatics, 2021-06, Vol.22 (6)

2021

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A Statistical Analysis of the Sequence and Structure of Thermophilic and Non-Thermophilic Proteins

International journal of molecular sciences, 2022-09, Vol.23 (17), p.10116

2022

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A computational platform to identify origins of replication sites in eukaryotes

Briefings in bioinformatics, 2021-03, Vol.22 (2), p.1940-1950

2021

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Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design

Briefings in bioinformatics, 2021-11, Vol.22 (6)

2021

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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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CFNCM: Collaborative filtering neighborhood-based model for predicting miRNA-disease associations

Computers in biology and medicine, 2023-09, Vol.163, p.107165-107165, Article 107165

2023

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Disentangling the influence of CSR initiatives on the performance of banking institutions

Banks and bank systems, 2024-06, Vol.19 (2), p.210-220

2024

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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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Computational prediction of promotors in Agrobacterium tumefaciens strain C58 by using the machine learning technique

Frontiers in microbiology, 2023-04, Vol.14, p.1170785-1170785

2023

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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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Computational identification of promoters in Klebsiella aerogenes by using support vector machine

Frontiers in microbiology, 2023-05, Vol.14, p.1200678-1200678

2023

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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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Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings

Frontiers in medicine, 2024-01, Vol.10, p.1291352-1291352

2024

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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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Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method

Mathematical biosciences and engineering : MBE, 2021-07, Vol.18 (4), p.3348-3363

2021

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Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods

Computational and structural biotechnology journal, 2023-01, Vol.21, p.2253-2261

2023

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Revisiting the impact of entrepreneurial orientation on SMEs’ organizational performance

Problems and perspectives in management, 2024-04, Vol.22 (2), p.29-39

2024

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Online domain-shift learning and object tracking based on nonlinear dynamic models and particle filters on Riemannian manifolds

Computer vision and image understanding, 2014-08, Vol.125, p.97-114

2014

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Bank becomes cashless: Determinants of acceptance of mobile banking (fintech) services among banking service users

Banks and bank systems, 2024-04, Vol.19 (2), p.30-39

2024

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E-MuLA: An Ensemble Multi-Localized Attention Feature Extraction Network for Viral Protein Subcellular Localization

Information (Basel), 2024-03, Vol.15 (3), p.163

2024

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Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters

IEEE transactions on circuits and systems for video technology, 2011-01, Vol.21 (1), p.74-87

2011

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Comprehensive Prediction of Lipocalin Proteins Using Artificial Intelligence Strategy

Frontiers in bioscience (Landmark. Print), 2022-03, Vol.27 (3), p.84-84

2022

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Exploring the Students' Perceived Effectiveness of Online Education during the COVID-19 Pandemic: Empirical Analysis Using Structural Equation Modeling (SEM)

Behavioral sciences, 2023-07, Vol.13 (7), p.578

2023

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A sequence-based deep learning approach to predict CTCF-mediated chromatin loop

Briefings in bioinformatics, 2021-09, Vol.22 (5)

2021

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Identification of RNA‐dependent liquid‐liquid phase separation proteins using an artificial intelligence strategy

Proteomics (Weinheim), 2024-06, p.e2400044-e2400044

2024

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DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach

A Statistical Analysis of the Sequence and Structure of Thermophilic and Non-Thermophilic Proteins

A computational platform to identify origins of replication sites in eukaryotes

Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design

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

CFNCM: Collaborative filtering neighborhood-based model for predicting miRNA-disease associations

Disentangling the influence of CSR initiatives on the performance of banking institutions

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

Computational prediction of promotors in Agrobacterium tumefaciens strain C58 by using the machine learning technique

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

Computational identification of promoters in Klebsiella aerogenes by using support vector machine

Identification of cyclin protein using gradient boost decision tree algorithm

Deep-STP: a deep learning-based approach to predict snake toxin proteins by using word embeddings

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

Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method

Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods

Revisiting the impact of entrepreneurial orientation on SMEs’ organizational performance

Online domain-shift learning and object tracking based on nonlinear dynamic models and particle filters on Riemannian manifolds

Bank becomes cashless: Determinants of acceptance of mobile banking (fintech) services among banking service users

E-MuLA: An Ensemble Multi-Localized Attention Feature Extraction Network for Viral Protein Subcellular Localization

Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters

Comprehensive Prediction of Lipocalin Proteins Using Artificial Intelligence Strategy

Exploring the Students' Perceived Effectiveness of Online Education during the COVID-19 Pandemic: Empirical Analysis Using Structural Equation Modeling (SEM)

A sequence-based deep learning approach to predict CTCF-mediated chromatin loop

Identification of RNA‐dependent liquid‐liquid phase separation proteins using an artificial intelligence strategy

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