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Jelili Oyelade

Showing results (1-10 of 23) with videos related to

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Computational and Structural Biotechnology Journal|February 25, 2025
An optimized deep-forest algorithm using a modified differential evolution optimization algorithm: A case of host-pathogen protein-protein interaction predictionJerry Emmanuel, Itunuoluwa Isewon, Jelili Oyelade
Bioinformatics and Biology Insights|May 21, 2016
Modeling of the Glycolysis Pathway in Plasmodium falciparum using Petri NetsJelili Oyelade, Itunuoluwa Isewon, Solomon Rotimi, et al.
Briefings in Bioinformatics|April 12, 2021
Machine learning approach to gene essentiality prediction: a reviewOlufemi Aromolaran, Damilare Aromolaran, Itunuoluwa Isewon, et al.
Current Bioinformatics|September 10, 2019
Inter-Species/Host-Parasite Protein Interaction Predictions ReviewedJumoke Soyemi, Itunnuoluwa Isewon, Jelili Oyelade, et al.
F1000Research|December 20, 2016
Cluster analysis of <i>Plasmodium</i> RNA-seq time-course data identifies stage-specific co-regulated biological processes and regulatory elementsEfejiro Ashano, Itunuoluwa Isewon, Jelili Oyelade, et al.
Genome Biology|July 14, 2026
Evidence standards for multi-ancestry polygenic predictionBlessing Oselu, Itunuoluwa Isewon, Jelili Oyelade, et al.
Biomed Research International|May 24, 2018
In Silico Knockout Screening of <i>Plasmodium falciparum</i> Reactions and Prediction of Novel Essential Reactions by Analysing the Metabolic NetworkJelili Oyelade, Itunuoluwa Isewon, Efosa Uwoghiren, et al.
Plos One|December 23, 2024
Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic networkItunuoluwa Isewon, Stephen Binaansim, Faith Adegoke, et al.
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|November 30, 2010
Computational identification of signalling pathways in Plasmodium falciparumJelili Oyelade, Itunu Ewejobi, Benedikt Brors, et al.
Computational and Structural Biotechnology Journal|April 8, 2020
Essential gene prediction in <i>Drosophila melanogaster</i> using machine learning approaches based on sequence and functional featuresOlufemi Aromolaran, Thomas Beder, Marcus Oswald, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

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Pageof 3
Computational and Structural Biotechnology Journal|February 25, 2025
An optimized deep-forest algorithm using a modified differential evolution optimization algorithm: A case of host-pathogen protein-protein interaction predictionJerry Emmanuel, Itunuoluwa Isewon, Jelili Oyelade
Bioinformatics and Biology Insights|May 21, 2016
Modeling of the Glycolysis Pathway in Plasmodium falciparum using Petri NetsJelili Oyelade, Itunuoluwa Isewon, Solomon Rotimi, et al.
Briefings in Bioinformatics|April 12, 2021
Machine learning approach to gene essentiality prediction: a reviewOlufemi Aromolaran, Damilare Aromolaran, Itunuoluwa Isewon, et al.
Current Bioinformatics|September 10, 2019
Inter-Species/Host-Parasite Protein Interaction Predictions ReviewedJumoke Soyemi, Itunnuoluwa Isewon, Jelili Oyelade, et al.
F1000Research|December 20, 2016
Cluster analysis of <i>Plasmodium</i> RNA-seq time-course data identifies stage-specific co-regulated biological processes and regulatory elementsEfejiro Ashano, Itunuoluwa Isewon, Jelili Oyelade, et al.
Genome Biology|July 14, 2026
Evidence standards for multi-ancestry polygenic predictionBlessing Oselu, Itunuoluwa Isewon, Jelili Oyelade, et al.
Biomed Research International|May 24, 2018
In Silico Knockout Screening of <i>Plasmodium falciparum</i> Reactions and Prediction of Novel Essential Reactions by Analysing the Metabolic NetworkJelili Oyelade, Itunuoluwa Isewon, Efosa Uwoghiren, et al.
Plos One|December 23, 2024
Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic networkItunuoluwa Isewon, Stephen Binaansim, Faith Adegoke, et al.
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|November 30, 2010
Computational identification of signalling pathways in Plasmodium falciparumJelili Oyelade, Itunu Ewejobi, Benedikt Brors, et al.
Computational and Structural Biotechnology Journal|April 8, 2020
Essential gene prediction in <i>Drosophila melanogaster</i> using machine learning approaches based on sequence and functional featuresOlufemi Aromolaran, Thomas Beder, Marcus Oswald, et al.
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