Multivariate biomarker discovery data science methods for efficient analysis of high-dimensional biomedical data - Dziuda, Darius M. (Cambridge University Press, 2024)
Title from publisher's bibliographic system (viewed on 30 May 2024)
Multivariate analytics based on high-dimensional data : concepts and misconceptions -- Predictive modeling for biomarker discovery -- Evaluation of predictive models -- Multivariate feature selection -- Basic regression methods -- Regularized regression methods -- Regression with random forests -- Support vector regression -- Classification with random forests -- Classification with support vector machines -- Discriminant analysis -- Neural networks and deep learning -- Multistage signal enhancement -- Essential patterns, essential variables, and interpretable biomarkers -- Biomarker discovery study 1 : searching for essential gene expression patterns and multivariate biomarkers that are common for multiple types of cancer -- Biomarker discovery study 2 : multivariate biomarkers for liver cancer