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Biostatistics (Oxford, England)|July 30, 2026
Multivariate functional linear discriminant analysis with feature selection: an application to inflammatory bowel disease classificationLimeng Liu, Guannan Wang, Sandra E SafoArxiv|November 24, 2021
Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking-An Application to COVID-19 severityJiuzhou Wang, Sandra E SafoBiostatistics (Oxford, England)|May 10, 2021
Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular diseaseThierry Chekouo, Sandra E SafoBriefings in Bioinformatics|July 15, 2024
DeepIDA-GRU: a deep learning pipeline for integrative discriminant analysis of cross-sectional and longitudinal multiview data with applications to inflammatory bowel disease classificationSarthak Jain, Sandra E SafoBMC Bioinformatics|May 7, 2022
Sparse sliced inverse regression for high dimensional data analysisHaileab Hilafu, Sandra E SafoBiostatistics (Oxford, England)|February 20, 2025
Scalable randomized kernel methods for multiview data integration and prediction with application to Coronavirus diseaseSandra E Safo, Han LuBioinformatics Advances|July 19, 2024
Deep IDA: a deep learning approach for integrative discriminant analysis of multi-omics data with feature ranking-an application to COVID-19Jiuzhou Wang, Sandra E SafoBioinformatics Advances|February 2, 2024
mvlearnR and Shiny App for multiview learningElise F Palzer, Sandra E SafoPlos One|April 25, 2022
Multi-omic analysis reveals enriched pathways associated with COVID-19 and COVID-19 severityDanika Lipman, Sandra E Safo, Thierry ChekouoBMC Bioinformatics|July 5, 2020
Sparse reduced-rank regression for integrating omics dataHaileab Hilafu, Sandra E Safo, Lillian HainePageof 41