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Sandra Safo
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2020 – today
- 2024
- [j11]Sarthak Jain, Sandra E. Safo
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DeepIDA-GRU: a deep learning pipeline for integrative discriminant analysis of cross-sectional and longitudinal multiview data with applications to inflammatory bowel disease classification. Briefings Bioinform. 25(4) (2024) - [j10]Jessica Butts, Leif Verace, Christine Wendt, Russel P. Bowler, Craig P. Hersh, Qi Long, Lynn E. Eberly, Sandra E. Safo:
HIP: a method for high-dimensional multi-view data integration and prediction accounting for subgroup heterogeneity. Briefings Bioinform. 25(6) (2024) - [j9]Hengkang Wang, Han Lu, Ju Sun
Interpretable deep learning methods for multiview learning. BMC Bioinform. 25(1): 69 (2024) - [j8]Seth D. König
Flexible multi-step hypothesis testing of human ECoG data using cluster-based permutation tests with GLMEs. NeuroImage 290: 120557 (2024) - 2023
- [i5]Hengkang Wang, Han Lu, Ju Sun, Sandra E. Safo:
Interpretable Deep Learning Methods for Multiview Learning. CoRR abs/2302.07930 (2023) - [i4]Elise F. Palzer, Sandra E. Safo:
mvlearnR and Shiny App for multiview learning. CoRR abs/2311.16181 (2023) - [i3]Sarthak Jain, Sandra E. Safo:
A deep learning pipeline for cross-sectional and longitudinal multiview data integration. CoRR abs/2312.01238 (2023) - 2022
- [j7]Haileab Hilafu, Sandra E. Safo
Sparse sliced inverse regression for high dimensional data analysis. BMC Bioinform. 23(1): 168 (2022) - [j6]Elise F. Palzer, Christine Wendt, Russell Bowler
sJIVE: Supervised joint and individual variation explained. Comput. Stat. Data Anal. 175: 107547 (2022) - 2021
- [i2]Elise F. Palzer, Christine Wendt, Russell Bowler, Craig P. Hersh, Sandra E. Safo
sJIVE: Supervised Joint and Individual Variation Explained. CoRR abs/2102.13278 (2021) - [i1]Jiuzhou Wang, Sandra E. Safo:
Deep IDA: A Deep Learning Method for Integrative Discriminant Analysis of Multi-View Data with Feature Ranking - An Application to COVID-19 severity. CoRR abs/2111.09964 (2021) - 2020
- [j5]Haileab Hilafu
Sparse reduced-rank regression for integrating omics data. BMC Bioinform. 21(1): 283 (2020)
2010 – 2019
- 2019
- [j4]Eun Jeong Min, Sandra E. Safo
Penalized co-inertia analysis with applications to -omics data. Bioinform. 35(6): 1018-1025 (2019) - [j3]Sandra E. Safo
Sparse linear discriminant analysis in structured covariates space. Stat. Anal. Data Min. 12(2): 56-69 (2019) - 2017
- [j2]Ziyi Li, Sandra E. Safo
Incorporating biological information in sparse principal component analysis with application to genomic data. BMC Bioinform. 18(1): 332 (2017) - 2016
- [j1]Sandra E. Safo
General sparse multi-class linear discriminant analysis. Comput. Stat. Data Anal. 99: 81-90 (2016) - [c1]Sandra E. Safo
Sparse Linear Discriminant Analysis in Structured Covariates Space. DSAA 2016: 772-781
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last updated on 2024-11-25 22:46 CET by the dblp team
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