Characterizing and classifying neuroendocrine neoplasms through microRNA sequencing and data mining

Neuroendocrine neoplasms (NENs) are clinically diverse and incompletely characterized cancers that are challenging to classify. MicroRNAs (miRNAs) are small regulatory RNAs that can be used to classify cancers. Recently, a morphology-based classification framework for evaluating NENs from different...

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Gardado en:
Detalles Bibliográficos
Publicado en:NAR Cancer
Main Authors: Nanayakkara, Jina, Tyryshkin, Kathrin, Yang, Xiaojing, Wong, Justin J M, Vanderbeck, Kaitlin, Ginter, Paula S, Scognamiglio, Theresa, Chen, Yao-Tseng, Panarelli, Nicole, Cheung, Nai-Kong, Dijk, Frederike, Ben-Dov, Iddo Z, Kim, Michelle Kang, Singh, Simron, Morozov, Pavel, Max, Klaas E A, Tuschl, Thomas, Renwick, Neil
Formato: Artigo
Idioma:Inglês
Publicado: Oxford University Press 2020
Assuntos:
Cancer-specific RNAs and RNA Processing
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC7380486/
https://ncbi.nlm.nih.gov/pubmed/32743554
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/narcan/zcaa009
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