Olufemi T. Aromolaran
Ota, OG, Nigeria
Last Updated: 09/26/2026
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Found 10 publications
Heuristic-enabled active machine learning: A case study of predicting essential developmental stage and immune response genes in Drosophila melanogaster.
Journal: PloS one
Published: April 03, 2023
Predicting host dependency factors of pathogens in Drosophila melanogaster using machine learning.
Journal: Computational and structural biotechnology journal
Published: June 08, 2021
Identifying essential genes across eukaryotes by machine learning.
Journal: NAR genomics and bioinformatics
Published: April 21, 2021
Corrigendum to: Machine learning approach to gene essentiality prediction: a review.
Journal: Briefings in bioinformatics
Published: January 18, 2021
Machine learning approach to gene essentiality prediction: a review.
Journal: Briefings in bioinformatics
Published: January 18, 2021
Essential gene prediction in Drosophila melanogaster using machine learning approaches based on sequence and functional features.
Journal: Computational and structural biotechnology journal
Published: December 19, 2019
Computational Identification of Metabolic Pathways of Plasmodium falciparum using the k-Shortest Path Algorithm.
Journal: International journal of genomics
Published: July 26, 2018
In Silico Knockout Screening of Plasmodium falciparum Reactions and Prediction of Novel Essential Reactions by Analysing the Metabolic Network.
Journal: BioMed research international
Published: November 03, 2017
Clustering Algorithms: Their Application to Gene Expression Data.
Journal: Bioinformatics and biology insights
Published: May 18, 2016
Showing 1-10 of 10
Last Updated: 09/26/2026