Reboot: a straightforward approach to identify genes and splicing isoforms associated with cancer patient prognosis

Nowadays, the massive amount of data generated by modern sequencing technologies provides an unprecedented opportunity to find genes associated with cancer patient prognosis, connecting basic and translational research. However, treating high dimensionality of gene expression data and integrating it...

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Detalles Bibliográficos
Autores principales: dos Santos, Felipe R C, Guardia, Gabriela D A, dos Santos, Filipe F, Ohara, Daniel T, Galante, Pedro A F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Cancer Data Resource
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210018/
https://www.ncbi.nlm.nih.gov/pubmed/34316711
http://dx.doi.org/10.1093/narcan/zcab024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210018/
https://www.ncbi.nlm.nih.gov/pubmed/34316711
http://dx.doi.org/10.1093/narcan/zcab024

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