Itunuoluwa Isewon

About Itunuoluwa Isewon

Itunuoluwa Isewon, With an exceptional h-index of 14 and a recent h-index of 13 (since 2020), a distinguished researcher at Covenant University, specializes in the field of Bioinformatics, Machine Learning, Clinical Decision Support Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

An in-silico analysis of OGT gene association with diabetes mellitus

An Extended Feature Representation Technique for Predicting Sequenced-based Host-pathogen Protein-protein Interaction

Mathematical modeling of malaria transmission dynamics in humans with mobility and control states

Polygenic risk scores for disease risk prediction in Africa: current challenges and future directions

W15. THE LANDSCAPE OF PSYCHIATRIC GENETICS STUDIES IN AFRICA: A PRELIMINARY SURVEY OF AFRICAN RESEARCH COHORTS

Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogaster

Modeling Malaria Disease Spread Using Location-Specific Internet Data

Systematic Review on the Recent Trends of Cybersecurity in Automobile Industry

Itunuoluwa Isewon Information

University

Position

Lecturer and Researcher

Citations(all)

931

Citations(since 2020)

793

Cited By

385

hIndex(all)

14

hIndex(since 2020)

13

i10Index(all)

17

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Itunuoluwa Isewon Skills & Research Interests

Bioinformatics

Machine Learning

Clinical Decision Support Systems

Top articles of Itunuoluwa Isewon

An in-silico analysis of OGT gene association with diabetes mellitus

BMC Research Notes

2024/3/27

An Extended Feature Representation Technique for Predicting Sequenced-based Host-pathogen Protein-protein Interaction

CURRENT BIOINFORMATICS

2024/3/11

Mathematical modeling of malaria transmission dynamics in humans with mobility and control states

Infectious Disease Modelling

2023/12/1

Polygenic risk scores for disease risk prediction in Africa: current challenges and future directions

2023/10/30

W15. THE LANDSCAPE OF PSYCHIATRIC GENETICS STUDIES IN AFRICA: A PRELIMINARY SURVEY OF AFRICAN RESEARCH COHORTS

European Neuropsychopharmacology

2023/10/1

Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogaster

Plos one

2023/8/9

Modeling Malaria Disease Spread Using Location-Specific Internet Data

2023/7/19

Systematic Review on the Recent Trends of Cybersecurity in Automobile Industry

2023/4/5

Infectious Disease Modelling

2017

Structure Prediction, Molecular Docking, and Dynamic Simulation of AP2-I Transcription Factor

2023

In silico Structure Prediction, Molecular Docking, and Dynamic Simulation of Plasmodium falciparum AP2-I Transcription Factor

Bioinformatics and Biology Insights

2023/1

SysBiolPGWAS: simplifying post-GWAS analysis through the use of computational technologies and integration of diverse omics datasets

Bioinformatics

2023/1/1

A Multi-Omics Classifier For Prediction Of Androgen Deprivation Treatment Response In Prostate Cancer Patients

2022/12/6

Machine learning algorithms: their applications in plant omics and agronomic traits’ improvement

2022/11/4

Strengthening Bioinformatics and Genomics Analysis Skills in Africa for Attainment of the Sustainable Development Goals: Report of the 2nd Conference of the Nigerian …

The American Journal of Tropical Medicine and Hygiene

2022/7

In silico evaluation of inhibitors of Plasmodium falciparumAP2‐I transcription factor

The FASEB Journal

2022/5

Implementation of a File Encryption Software "Hyde" using RIJNDAEL Algorithm (AES)

International Journal of Computer Science and Information Security

2022/4

Investigating the epidemiological factors responsible for malaria transmission dynamics

IOP Conference Series: Earth and Environmental Science

2022/3/1

Plant genomics in Africa: present and prospects

2021/7

Computational and drug target analysis of functional single nucleotide polymorphisms associated with Haemoglobin Subunit Beta (HBB) gene

Computers in Biology and Medicine

2020/10/1

See List of Professors in Itunuoluwa Isewon University(Covenant University)

Co-Authors

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