Prediction of RNA subcellular localization: Learning from heterogeneous data sources

RNA subcellular localization has recently emerged as a widespread phenomenon, which may apply to the majority of RNAs. The two main sources of data for characterization of RNA localization are sequence features and microscopy images, such as obtained from single-molecule fluorescent in situ hybridiz...

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Detalles Bibliográficos
Autores principales: Savulescu, Anca Flavia, Bouilhol, Emmanuel, Beaume, Nicolas, Nikolski, Macha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571491/
https://www.ncbi.nlm.nih.gov/pubmed/34765919
http://dx.doi.org/10.1016/j.isci.2021.103298

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8571491/
https://www.ncbi.nlm.nih.gov/pubmed/34765919
http://dx.doi.org/10.1016/j.isci.2021.103298

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