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Prediction of tumour pathological subtype from genomic profile using sparse logistic regression with random effects
Journal of Applied Statistics ( IF 1.2 ) Pub Date : 2020-03-11 , DOI: 10.1080/02664763.2020.1738358 Özlem Kaymaz 1 , Khaled Alqahtani 2 , Henry M Wood 3 , Arief Gusnanto 4
Journal of Applied Statistics ( IF 1.2 ) Pub Date : 2020-03-11 , DOI: 10.1080/02664763.2020.1738358 Özlem Kaymaz 1 , Khaled Alqahtani 2 , Henry M Wood 3 , Arief Gusnanto 4
Affiliation
The purpose of this study is to highlight the application of sparse logistic regression models in dealing with prediction of tumour pathological subtypes based on lung cancer patients' genomic info...
中文翻译：
使用具有随机效应的稀疏逻辑回归从基因组图谱预测肿瘤病理亚型
本研究的目的是强调稀疏逻辑回归模型在处理基于肺癌患者基因组信息的肿瘤病理亚型预测中的应用...
更新日期：2020-03-11
中文翻译：
使用具有随机效应的稀疏逻辑回归从基因组图谱预测肿瘤病理亚型
本研究的目的是强调稀疏逻辑回归模型在处理基于肺癌患者基因组信息的肿瘤病理亚型预测中的应用...
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