Diagnostic classification of childhood cancer using multiscale transcriptomics

The causes of pediatric cancers’ distinctiveness compared to adult-onset tumors of the same type are not completely clear and not fully explained by their genomes. In this study, we used an optimized multilevel RNA clustering approach to derive molecular definitions for most childhood cancers. Apply...

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Detalles Bibliográficos
Autores principales: Comitani, Federico, Nash, Joshua O., Cohen-Gogo, Sarah, Chang, Astra I., Wen, Timmy T., Maheshwari, Anant, Goyal, Bipasha, Tio, Earvin S., Tabatabaei, Kevin, Mayoh, Chelsea, Zhao, Regis, Ho, Ben, Brunga, Ledia, Lawrence, John E. G., Balogh, Petra, Flanagan, Adrienne M., Teichmann, Sarah, Huang, Annie, Ramaswamy, Vijay, Hitzler, Johann, Wasserman, Jonathan D., Gladdy, Rebecca A., Dickson, Brendan C., Tabori, Uri, Cowley, Mark J., Behjati, Sam, Malkin, David, Villani, Anita, Irwin, Meredith S., Shlien, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033451/
https://www.ncbi.nlm.nih.gov/pubmed/36932241
http://dx.doi.org/10.1038/s41591-023-02221-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033451/
https://www.ncbi.nlm.nih.gov/pubmed/36932241
http://dx.doi.org/10.1038/s41591-023-02221-x

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