Improved prediction of gene expression through integrating cell signalling models with machine learning

BACKGROUND: A key problem in bioinformatics is that of predicting gene expression levels. There are two broad approaches: use of mechanistic models that aim to directly simulate the underlying biology, and use of machine learning (ML) to empirically predict expression levels from descriptors of the...

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Detalles Bibliográficos
Autores principales: Al taweraqi, Nada, King, Ross D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356471/
https://www.ncbi.nlm.nih.gov/pubmed/35933367
http://dx.doi.org/10.1186/s12859-022-04787-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9356471/
https://www.ncbi.nlm.nih.gov/pubmed/35933367
http://dx.doi.org/10.1186/s12859-022-04787-8

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