General sparse multi-class linear discriminant analysis. - Sandra E. Safo; Jeongyoun Ahn (Comput. Stat. Data Anal., 2016)

Incorporating biological information in sparse principal component analysis with application to genomic data. - Ziyi Li 001; Sandra E. Safo; Qi Long (BMC Bioinform., 2017)

Penalized co-inertia analysis with applications to -omics data. - Eun Jeong Min; Sandra E. Safo; Qi Long (Bioinform., 2019)

Sparse linear discriminant analysis in structured covariates space. - Sandra E. Safo; Qi Long (Stat. Anal. Data Min., 2019)

Sparse reduced-rank regression for integrating omics data. - Haileab Hilafu; Sandra E. Safo; Lillian Haine (BMC Bioinform., 2020)

Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking - An Application to COVID-19 severity. - Jiuzhou Wang; Sandra E. Safo (CoRR, 2021)

Sparse sliced inverse regression for high dimensional data analysis. - Haileab Hilafu; Sandra E. Safo (BMC Bioinform., 2022)

sJIVE: Supervised joint and individual variation explained. - Elise F. Palzer; Christine Wendt; Russell Bowler; Craig P. Hersh; Sandra E. Safo; Eric F. Lock (Comput. Stat. Data Anal., 2022)

mvlearnR and Shiny App for multiview learning. - Elise F. Palzer; Sandra E. Safo (CoRR, 2023)

A deep learning pipeline for cross-sectional and longitudinal multiview data integration. - Sarthak Jain; Sandra E. Safo (CoRR, 2023)

HIP: a method for high-dimensional multi-view data integration and prediction accounting for subgroup heterogeneity. - Jessica Butts; Leif Verace; Christine Wendt; Russell P. Bowler; Craig P. Hersh; Qi Long; Lynn E. Eberly; Sandra E. Safo (Briefings Bioinform., 2024)

DeepIDA-GRU: a deep learning pipeline for integrative discriminant analysis of cross-sectional and longitudinal multiview data with applications to inflammatory bowel disease classification. - Sarthak Jain; Sandra E. Safo (Briefings Bioinform., 2024)

Flexible multi-step hypothesis testing of human ECoG data using cluster-based permutation tests with GLMEs. - Seth D. König; Sandra Safo; Kai J. Miller; Alexander B. Herman; David Darrow (NeuroImage, 2024)

Interpretable deep learning methods for multiview learning. - Hengkang Wang; Han Lu; Ju Sun; Sandra E. Safo (BMC Bioinform., 2024)

Putting computational models of immunity to the test - An invited challenge to predict B.pertussis vaccination responses. - Pramod Shinde; Lisa Willemsen; Michael Anderson; Minori Aoki; Saonli Basu; Julie G. Burel; Peng Cheng; Souradipto Ghosh Dastidar; Aidan Dunleavy; Tal Einav; Jamie Forschmiedt; Slim Fourati; et al. (PLoS Comput. Biol., 2025)