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Olufemi Aromolaran

Showing results (1-10 of 7) with videos related to

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Briefings in Bioinformatics|April 12, 2021
Machine learning approach to gene essentiality prediction: a reviewOlufemi Aromolaran, Damilare Aromolaran, Itunuoluwa Isewon, 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.
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.
Computational and Structural Biotechnology Journal|September 2, 2021
Predicting host dependency factors of pathogens in <i>Drosophila melanogaster</i> using machine learningOlufemi Aromolaran, Thomas Beder, Eunice Adedeji, et al.
Bioinformatics and Biology Insights|December 10, 2016
Clustering Algorithms: Their Application to Gene Expression DataJelili Oyelade, Itunuoluwa Isewon, Funke Oladipupo, et al.
NAR Genomics and Bioinformatics|December 3, 2021
Identifying essential genes across eukaryotes by machine learningThomas Beder, Olufemi Aromolaran, Jürgen Dönitz, et al.
International Journal of Genomics|October 31, 2019
Computational Identification of Metabolic Pathways of <i>Plasmodium falciparum</i> using the <i>k</i>-Shortest Path AlgorithmJelili Oyelade, Itunuoluwa Isewon, Olufemi Aromolaran, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Briefings in Bioinformatics|April 12, 2021
Machine learning approach to gene essentiality prediction: a reviewOlufemi Aromolaran, Damilare Aromolaran, Itunuoluwa Isewon, 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.
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.
Computational and Structural Biotechnology Journal|September 2, 2021
Predicting host dependency factors of pathogens in <i>Drosophila melanogaster</i> using machine learningOlufemi Aromolaran, Thomas Beder, Eunice Adedeji, et al.
Bioinformatics and Biology Insights|December 10, 2016
Clustering Algorithms: Their Application to Gene Expression DataJelili Oyelade, Itunuoluwa Isewon, Funke Oladipupo, et al.
NAR Genomics and Bioinformatics|December 3, 2021
Identifying essential genes across eukaryotes by machine learningThomas Beder, Olufemi Aromolaran, Jürgen Dönitz, et al.
International Journal of Genomics|October 31, 2019
Computational Identification of Metabolic Pathways of <i>Plasmodium falciparum</i> using the <i>k</i>-Shortest Path AlgorithmJelili Oyelade, Itunuoluwa Isewon, Olufemi Aromolaran, et al.
Pageof 1