Comparison of the Meta-Active Machine Learning Model Applied to Biological Data-Driven Experiments with Other Models

Currently, many methods that could estimate the effects of conditions on a given biological target require either strong modelling assumptions or separate screens. Traditionally, many conditions and targets, without doing all possible experiments, could be achieved by driven experimentation or sever...

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Detalles Bibliográficos
Autor principal: Wang, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8687783/
https://www.ncbi.nlm.nih.gov/pubmed/34938423
http://dx.doi.org/10.1155/2021/8014850

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8687783/
https://www.ncbi.nlm.nih.gov/pubmed/34938423
http://dx.doi.org/10.1155/2021/8014850

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