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

Computational prediction of absolute essential genes using machine learning has gained wide attention in recent years. However, essential genes are mostly conditional and not absolute. Experimental techniques provide a reliable approach of identifying conditionally essential genes; however, experime...

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Detalles Bibliográficos
Autores principales: Aromolaran, Olufemi Tony, Isewon, Itunu, Adedeji, Eunice, Oswald, Marcus, Adebiyi, Ezekiel, Koenig, Rainer, Oyelade, Jelili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411809/
https://www.ncbi.nlm.nih.gov/pubmed/37556452
http://dx.doi.org/10.1371/journal.pone.0288023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411809/
https://www.ncbi.nlm.nih.gov/pubmed/37556452
http://dx.doi.org/10.1371/journal.pone.0288023

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