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

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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Bibliographic Details
Main Authors: Junhong Guo, Likun Hou, Wei Zhang, Zhengwei Dong, Lei Zhang, Chunyan Wu
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Translational Oncology
Subjects:
Pulmonary large cell neuroendocrine carcinoma (LCNEC)
Small cell lung cancer (SCLC)
Differential diagnosis, Molecular profile
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S193652332100214X

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http://www.sciencedirect.com/science/article/pii/S193652332100214X

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