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Barbara E Engelhardt

Showing results (11-20 of 66) with videos related to

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Nature Communications|June 11, 2024
Optimizing the design of spatial genomic studiesAndrew Jones, Diana Cai, Didong Li, et al.
Journal of Machine Learning Research : JMLR|September 25, 2025
Bayesian group factor analysis with structured sparsityShiwen Zhao, Chuan Gao, Sayan Mukherjee, et al.
Plos Genetics|August 13, 2013
Integrative modeling of eQTLs and cis-regulatory elements suggests mechanisms underlying cell type specificity of eQTLsChristopher D Brown, Lara M Mangravite, Barbara E Engelhardt
The Biochemical Journal|June 17, 2022
Towards 'end-to-end' analysis and understanding of biological timecourse dataSiddhartha G Jena, Alexander G Goglia, Barbara E Engelhardt
Biorxiv : the Preprint Server for Biology|February 13, 2023
Optimizing the design of spatial genomic studiesAndrew Jones, Diana Cai, Didong Li, et al.
Life Science Alliance|August 17, 2022
Telescoping bimodal latent Dirichlet allocation to identify expression QTLs across tissuesAriel Dh Gewirtz, F William Townes, Barbara E Engelhardt
Nature Communications|March 12, 2021
Joint analysis of expression levels and histological images identifies genes associated with tissue morphologyJordan T Ash, Gregory Darnell, Daniel Munro, et al.
Genome Research|January 30, 2020
netNMF-sc: leveraging gene-gene interactions for imputation and dimensionality reduction in single-cell expression analysisRebecca Elyanow, Bianca Dumitrascu, Barbara E Engelhardt, et al.
Nature Methods|August 17, 2023
Alignment of spatial genomics data using deep Gaussian processesAndrew Jones, F William Townes, Didong Li, et al.
Nature Communications|February 20, 2021
Optimal marker gene selection for cell type discrimination in single cell analysesBianca Dumitrascu, Soledad Villar, Dustin G Mixon, et al.
Pageof 7

Showing results (11-20 of 66) with videos related to

Sort By:
Pageof 7
Nature Communications|June 11, 2024
Optimizing the design of spatial genomic studiesAndrew Jones, Diana Cai, Didong Li, et al.
Journal of Machine Learning Research : JMLR|September 25, 2025
Bayesian group factor analysis with structured sparsityShiwen Zhao, Chuan Gao, Sayan Mukherjee, et al.
Plos Genetics|August 13, 2013
Integrative modeling of eQTLs and cis-regulatory elements suggests mechanisms underlying cell type specificity of eQTLsChristopher D Brown, Lara M Mangravite, Barbara E Engelhardt
The Biochemical Journal|June 17, 2022
Towards 'end-to-end' analysis and understanding of biological timecourse dataSiddhartha G Jena, Alexander G Goglia, Barbara E Engelhardt
Biorxiv : the Preprint Server for Biology|February 13, 2023
Optimizing the design of spatial genomic studiesAndrew Jones, Diana Cai, Didong Li, et al.
Life Science Alliance|August 17, 2022
Telescoping bimodal latent Dirichlet allocation to identify expression QTLs across tissuesAriel Dh Gewirtz, F William Townes, Barbara E Engelhardt
Nature Communications|March 12, 2021
Joint analysis of expression levels and histological images identifies genes associated with tissue morphologyJordan T Ash, Gregory Darnell, Daniel Munro, et al.
Genome Research|January 30, 2020
netNMF-sc: leveraging gene-gene interactions for imputation and dimensionality reduction in single-cell expression analysisRebecca Elyanow, Bianca Dumitrascu, Barbara E Engelhardt, et al.
Nature Methods|August 17, 2023
Alignment of spatial genomics data using deep Gaussian processesAndrew Jones, F William Townes, Didong Li, et al.
Nature Communications|February 20, 2021
Optimal marker gene selection for cell type discrimination in single cell analysesBianca Dumitrascu, Soledad Villar, Dustin G Mixon, et al.
Pageof 7