Joint learning improves protein abundance prediction in cancers

BACKGROUND: The classic central dogma in biology is the information flow from DNA to mRNA to protein, yet complicated regulatory mechanisms underlying protein translation often lead to weak correlations between mRNA and protein abundances. This is particularly the case in cancer samples and when eva...

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Detalles Bibliográficos
Autores principales: Li, Hongyang, Siddiqui, Omer, Zhang, Hongjiu, Guan, Yuanfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929375/
https://www.ncbi.nlm.nih.gov/pubmed/31870366
http://dx.doi.org/10.1186/s12915-019-0730-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929375/
https://www.ncbi.nlm.nih.gov/pubmed/31870366
http://dx.doi.org/10.1186/s12915-019-0730-9

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