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StackDPPred: a stacking based prediction of DNA-binding protein from sequence

Bioinformatics, 2019-02, Vol.35 (3), p.433-441

2019

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Editorial: Herbal medical products for metabolic diseases - new integrated pharmacological approaches

Frontiers in pharmacology, 2024-08, Vol.15, p.1464176

2024

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AIBH: Accurate Identification of Brain Hemorrhage Using Genetic Algorithm Based Feature Selection and Stacking

Machine learning and knowledge extraction, 2020-06, Vol.2 (2), p.56-77

2020

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Machine learning accurately predicts the multivariate performance phenotype from morphology in lizards

PloS one, 2022-01, Vol.17 (1), p.e0261613

2022

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Discriminate protein decoys from native by using a scoring function based on ubiquitous Phi and Psi angles computed for all atom

Journal of theoretical biology, 2016-06, Vol.398, p.112-121

2016

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TAFPred: Torsion Angle Fluctuations Prediction from Protein Sequences

Biology (Basel, Switzerland), 2023-07, Vol.12 (7), p.1020

2023

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Three-Dimensional Ideal Gas Reference State Based Energy Function

Current bioinformatics, 2017-04, Vol.12 (2), p.171-180

2017

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Hierarchy-Based File Fragment Classification

Machine learning and knowledge extraction, 2020-09, Vol.2 (3), p.216-232

2020

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StackCBPred: A stacking based prediction of protein-carbohydrate binding sites from sequence

Carbohydrate research, 2019-12, Vol.486, p.107857-107857, Article 107857

2019

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ClassifyTE: a stacking-based prediction of hierarchical classification of transposable elements

Bioinformatics (Oxford, England), 2021-09, Vol.37 (17), p.2529-2536

2021

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Improved prediction of accessible surface area results in efficient energy function application

Journal of theoretical biology, 2015-09, Vol.380, p.380-391

2015

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Next Generation Evolutionary Sampling and Energy Function Guided ab initio Protein Structure Prediction

Biophysical journal, 2017-02, Vol.112 (3), p.55a-55a

2017

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AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques

Artificial intelligence in medicine, 2021-03, Vol.113, p.102034-102034, Article 102034

2021

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sDFIRE: Sequence-specific statistical energy function for protein structure prediction by decoy selections

Journal of computational chemistry, 2016-05, Vol.37 (12), p.1119-1124

2016

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diSBPred: A machine learning based approach for disulfide bond prediction

Computational biology and chemistry, 2021-04, Vol.91, p.107436-107436, Article 107436

2021

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COVID-19 radiograph prognosis using a deep CResNeXt network

Multimedia tools and applications, 2023-09, Vol.82 (23), p.36479-36505

2023

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s DFIRE : Sequence‐specific statistical energy function for protein structure prediction by decoy selections

Journal of computational chemistry, 2016-05, Vol.37 (12), p.1119-1124

2016

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A Machine Learning Approach to Determine Oyster Vessel Behavior

Machine learning and knowledge extraction, 2019-12, Vol.1 (1), p.64-74

2019

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SumoPred-PLM: human SUMOylation and SUMO2/3 sites Prediction using Pre-trained Protein Language Model

NAR genomics and bioinformatics, 2024-03, Vol.6 (1)

2024

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Machine learning accurately predicts the multivariate performance phenotype from morphology in lizards

PloS one, 2022-01, Vol.17 (1)

2022

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Multiclass patent document classification

Artificial intelligence research, 2017-12, Vol.7 (1), p.1

2017

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3DIGARS-PSP: A Novel Statistical Energy Function and Effective Conformational Search Strategy based ab initio Protein Structure Prediction

2019 22nd International Conference on Computer and Information Technology (ICCIT), 2019, p.1-7

2019

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AVTAR Cyber Shield: A Comprehensive Framework for Machine Learning-Enhanced Cybersecurity in Cyber-Physical Environment

2024 International Conference on Circuit, Systems and Communication (ICCSC), 2024, p.1-6

2024

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Enhancing Intrusion Detection Through Deep Learning and Generative Adversarial Network

2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC), 2024, p.1-6

2024

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Prediction of Phi and Psi Angle Fluctuations from Protein Sequences

2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2023, p.1-6

2023

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StackDPPred: a stacking based prediction of DNA-binding protein from sequence

Editorial: Herbal medical products for metabolic diseases - new integrated pharmacological approaches

AIBH: Accurate Identification of Brain Hemorrhage Using Genetic Algorithm Based Feature Selection and Stacking

Machine learning accurately predicts the multivariate performance phenotype from morphology in lizards

Discriminate protein decoys from native by using a scoring function based on ubiquitous Phi and Psi angles computed for all atom

TAFPred: Torsion Angle Fluctuations Prediction from Protein Sequences

Three-Dimensional Ideal Gas Reference State Based Energy Function

Hierarchy-Based File Fragment Classification

StackCBPred: A stacking based prediction of protein-carbohydrate binding sites from sequence

ClassifyTE: a stacking-based prediction of hierarchical classification of transposable elements

Improved prediction of accessible surface area results in efficient energy function application

Next Generation Evolutionary Sampling and Energy Function Guided ab initio Protein Structure Prediction

AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques

sDFIRE: Sequence-specific statistical energy function for protein structure prediction by decoy selections

diSBPred: A machine learning based approach for disulfide bond prediction

COVID-19 radiograph prognosis using a deep CResNeXt network

s DFIRE : Sequence‐specific statistical energy function for protein structure prediction by decoy selections

A Machine Learning Approach to Determine Oyster Vessel Behavior

SumoPred-PLM: human SUMOylation and SUMO2/3 sites Prediction using Pre-trained Protein Language Model

Machine learning accurately predicts the multivariate performance phenotype from morphology in lizards

Multiclass patent document classification

3DIGARS-PSP: A Novel Statistical Energy Function and Effective Conformational Search Strategy based ab initio Protein Structure Prediction

AVTAR Cyber Shield: A Comprehensive Framework for Machine Learning-Enhanced Cybersecurity in Cyber-Physical Environment

Enhancing Intrusion Detection Through Deep Learning and Generative Adversarial Network

Prediction of Phi and Psi Angle Fluctuations from Protein Sequences

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