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Arxiv
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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 severity
Jiuzhou Wang, Sandra E Safo
Biostatistics (Oxford, England)
|
May 10, 2021
Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease
Thierry Chekouo, Sandra E Safo
Briefings 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 classification
Sarthak Jain, Sandra E Safo
BMC Bioinformatics
|
May 7, 2022
Sparse sliced inverse regression for high dimensional data analysis
Haileab Hilafu, Sandra E Safo
Biostatistics (Oxford, England)
|
February 20, 2025
Scalable randomized kernel methods for multiview data integration and prediction with application to Coronavirus disease
Sandra E Safo, Han Lu
Bioinformatics 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-19
Jiuzhou Wang, Sandra E Safo
Bioinformatics Advances
|
February 2, 2024
mvlearnR and Shiny App for multiview learning
Elise F Palzer, Sandra E Safo
Plos One
|
April 25, 2022
Multi-omic analysis reveals enriched pathways associated with COVID-19 and COVID-19 severity
Danika Lipman, Sandra E Safo, Thierry Chekouo
BMC Bioinformatics
|
July 5, 2020
Sparse reduced-rank regression for integrating omics data
Haileab Hilafu, Sandra E Safo, Lillian Haine
BMC Genomics
|
June 12, 2023
Integrative multi-omics approach for identifying molecular signatures and pathways and deriving and validating molecular scores for COVID-19 severity and status
Danika Lipman, Sandra E Safo, Thierry Chekouo
Page
of 4
Search research articles
Search
Showing results (1-10 of 39) with videos related to
Sort By:
Page
of 4
Arxiv
|
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 severity
Jiuzhou Wang, Sandra E Safo
Biostatistics (Oxford, England)
|
May 10, 2021
Bayesian integrative analysis and prediction with application to atherosclerosis cardiovascular disease
Thierry Chekouo, Sandra E Safo
Briefings 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 classification
Sarthak Jain, Sandra E Safo
BMC Bioinformatics
|
May 7, 2022
Sparse sliced inverse regression for high dimensional data analysis
Haileab Hilafu, Sandra E Safo
Biostatistics (Oxford, England)
|
February 20, 2025
Scalable randomized kernel methods for multiview data integration and prediction with application to Coronavirus disease
Sandra E Safo, Han Lu
Bioinformatics 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-19
Jiuzhou Wang, Sandra E Safo
Bioinformatics Advances
|
February 2, 2024
mvlearnR and Shiny App for multiview learning
Elise F Palzer, Sandra E Safo
Plos One
|
April 25, 2022
Multi-omic analysis reveals enriched pathways associated with COVID-19 and COVID-19 severity
Danika Lipman, Sandra E Safo, Thierry Chekouo
BMC Bioinformatics
|
July 5, 2020
Sparse reduced-rank regression for integrating omics data
Haileab Hilafu, Sandra E Safo, Lillian Haine
BMC Genomics
|
June 12, 2023
Integrative multi-omics approach for identifying molecular signatures and pathways and deriving and validating molecular scores for COVID-19 severity and status
Danika Lipman, Sandra E Safo, Thierry Chekouo
Page
of 4