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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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| Publicado no: | NAR Cancer |
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| Main Authors: | , , , , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | 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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