Flimma: a federated and privacy-aware tool for differential gene expression analysis

Aggregating transcriptomics data across hospitals can increase sensitivity and robustness of differential expression analyses, yielding deeper clinical insights. As data exchange is often restricted by privacy legislation, meta-analyses are frequently employed to pool local results. However, the acc...

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Detalles Bibliográficos
Autores principales: Zolotareva, Olga, Nasirigerdeh, Reza, Matschinske, Julian, Torkzadehmahani, Reihaneh, Bakhtiari, Mohammad, Frisch, Tobias, Späth, Julian, Blumenthal, David B., Abbasinejad, Amir, Tieri, Paolo, Kaissis, Georgios, Rückert, Daniel, Wenke, Nina K., List, Markus, Baumbach, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670124/
https://www.ncbi.nlm.nih.gov/pubmed/34906207
http://dx.doi.org/10.1186/s13059-021-02553-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670124/
https://www.ncbi.nlm.nih.gov/pubmed/34906207
http://dx.doi.org/10.1186/s13059-021-02553-2

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