Prediction of tumour pathological subtype from genomic profile using sparse logistic regression with random effects
Work
Year: 2020
Type: article
Abstract: 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 informa... more
Source: Journal of Applied Statistics
Institutions Ankara University, Prince Sattam Bin Abdulaziz University, University of Leeds, St James's University Hospital
Cites: 28
Cited by:
Related to: 10
FWCI:
Citation percentile (by year/subfield):
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Sustainable Development Goal Good health and well-being
Open Access status: green