Computational Biology and Bioinformatics in Nigeria. - Segun A. Fatumo; Moses P. Adoga; Opeolu O. Ojo; Olugbenga Oluseun Oluwagbemi; Tolulope Adeoye; Itunuoluwa Ewejobi; Marion O. Adebiyi; Ezekiel F. Adebiyi; Clement Bewaji; Oyekanmi Nashiru (PLoS Comput. Biol., 2014)

Assessing computational genomics skills: Our experience in the H3ABioNet African bioinformatics network. - C. Victor Jongeneel; Ovokeraye Achinike-Oduaran; Ezekiel F. Adebiyi; Marion O. Adebiyi; Seun Adeyemi; Bola Akanle; Shaun Aron; Efejiro Ashano; Hocine Bendou; Gerrit Botha; Emile R. Chimusa; Ananyo Choudhury; et al. (PLoS Comput. Biol., 2017)

Computational analysis of Plasmodium falciparum RNA-Seq data reveals PPIs that might be implicated in the invasion of the RBCs. - Jumoke Soyemi; Itunuoluwa Isewon; Olubanke Ogunlana; Rotimi Solomon; Jelili Oyelade; Ezekiel F. Adebiyi (CIBCB, 2018)

Data Clustering: Algorithms and Its Applications. - Jelili Oyelade; Itunuoluwa Isewon; Olufunke O. Oladipupo; Onyeka Emebo; Zacchaeus Omogbadegun; Olufemi Aromolaran; Efosa Uwoghiren; Damilare Olaniyan; Obembe Olawole (ICCSA (7), 2019)

Computational and drug target analysis of functional single nucleotide polymorphisms associated with Haemoglobin Subunit Beta (HBB) gene. - Opeyemi S. Soremekun; Chisom Ezenwa; Itunuoluwa Isewon; Mahmoud E. S. Soliman; Olaposi I. Omotuyi; Oyekanmi Nashiru; Segun A. Fatumo (Comput. Biol. Medicine, 2020)

Machine learning approach to gene essentiality prediction: a review. - Olufemi Aromolaran; Damilare Aromolaran; Itunuoluwa Isewon; Jelili Oyelade (Briefings Bioinform., 2021)

A Multi-Omics Classifier For Prediction Of Androgen Deprivation Treatment Response In Prostate Cancer Patients. - Itunuoluwa Isewon; Emmanuel Alagbe; Rotimi Solomon; Jelili Oyelade (BIBM, 2022)

Corrigendum to: Machine learning approach to gene essentiality prediction: a review. - Olufemi Aromolaran; Damilare Aromolaran; Itunuoluwa Isewon; Jelili Oyelade (Briefings Bioinform., 2022)

Machine learning algorithms: their applications in plant omics and agronomic traits' improvement. - Itunuoluwa Isewon; Oluwabukola Apata; Fesobi Oluwamuyiwa; Olufemi Aromolaran; Jelili Oyelade (F1000Research, 2022)

SysBiolPGWAS: simplifying post-GWAS analysis through the use of computational technologies and integration of diverse omics datasets. - Oluwadamilare Falola; Yagoub Adam; Olabode Ajayi; Judit Kumuthini; Suraju Adewale; Abayomi Mosaku; Chaimae Samtal; Glory O. Adebayo; Jerry Emmanuel; Milaine S. S. Tchamga; Udochukwu Erondu; Adebayo Nehemiah; et al. (Bioinform., 2023)