Improving differential diagnosis of pulmonary large cell neuroendocrine carcinoma and small cell lung cancer via a transcriptomic, biological pathway-based machine learning model

BACKGROUND: Accurately differentiating between pulmonary large cell neuroendocrine carcinomas (LCNEC) and small cell lung cancer (SCLC) is crucial to make appropriate therapeutic decisions. Here, a classifier was constructed based on transcriptome data to improve the diagnostic accuracy for LCNEC an...

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Detalles Bibliográficos
Autores principales: Guo, Junhong, Hou, Likun, Zhang, Wei, Dong, Zhengwei, Zhang, Lei, Wu, Chunyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450252/
https://www.ncbi.nlm.nih.gov/pubmed/34530194
http://dx.doi.org/10.1016/j.tranon.2021.101222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450252/
https://www.ncbi.nlm.nih.gov/pubmed/34530194
http://dx.doi.org/10.1016/j.tranon.2021.101222

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