Sandra Safo

According to our database, Sandra Safo authored at least 15 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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, Javier Garcia, William Gibson, Jason A. Greenbaum, Leying Guan, Weikang Guan, Jeremy P. Gygi, Brendan Ha, Joe Hou, Jason Hsiao, Yunda Huang, Rick Jansen, Bhargob Kakoty, Zhiyu Kang, James J. Kobie, Mari Kojima, Anna Konstorum, Jiyeun Lee, Sloan A. Lewis, Aixin Li, Eric F. Lock, Jarjapu Mahita, Marcus Mendes, Hailong Meng, Aidan Neher, Somayeh Nili, Lars Rønn Olsen, Shelby Orfield, James A. Overton, Nidhi Pai, Cokie Parker, Brian Qian, Mikkel Rasmussen, Joaquin Reyna, Eve Richardson, Sandra Safo, Josey Sorenson, Aparna Srinivasan, Nicola Thrupp, Rashmi Tippalagama, Raphael Trevizani, Steffen Ventz, Jiuzhou Wang, Cheng-Chang Wu, Ferhat Ay, Barry Grant, Steven H. Kleinstein, Bjoern Peters

PLoS Comput. Biol., 2025

2024

Interpretable deep learning methods for multiview learning.

Hengkang Wang, Han Lu, Ju Sun, Sandra E. Safo

BMC Bioinform., December, 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

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

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

2023

A deep learning pipeline for cross-sectional and longitudinal multiview data integration.

Sarthak Jain, Sandra E. Safo

CoRR, 2023

mvlearnR and Shiny App for multiview learning.

Elise F. Palzer, Sandra E. Safo

CoRR, 2023

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

Sparse sliced inverse regression for high dimensional data analysis.

Haileab Hilafu, Sandra E. Safo

BMC Bioinform., 2022

2021

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

2020

Sparse reduced-rank regression for integrating omics data.

Haileab Hilafu, Sandra E. Safo, Lillian Haine

BMC Bioinform., 2020

2019

Penalized co-inertia analysis with applications to -omics data.

Eun Jeong Min, Sandra E. Safo, Qi Long

Bioinform., 2019

2017

Incorporating biological information in sparse principal component analysis with application to genomic data.

Ziyi Li, Sandra E. Safo, Qi Long

BMC Bioinform., 2017

2016

General sparse multi-class linear discriminant analysis.

Sandra E. Safo, Jeongyoun Ahn

Comput. Stat. Data Anal., 2016

Sparse Linear Discriminant Analysis in Structured Covariates Space.

Sandra E. Safo, Qi Long

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016