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Stephanie C Hicks

Showing results (1-10 of 117) with videos related to

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Genome Biology|December 1, 2019
methylCC: technology-independent estimation of cell type composition using differentially methylated regionsStephanie C Hicks, Rafael A Irizarry
Annual Review of Public Health|January 20, 2021
Reproducible Research: A RetrospectiveRoger D Peng, Stephanie C Hicks
Genome Biology|June 5, 2015
quantro: a data-driven approach to guide the choice of an appropriate normalization methodStephanie C Hicks, Rafael A Irizarry
The American Statistician|May 21, 2019
A Guide to Teaching Data ScienceStephanie C Hicks, Rafael A Irizarry
Nature Methods|June 6, 2025
SpotSweeper: spatially aware quality control for spatial transcriptomicsMichael Totty, Stephanie C Hicks, Boyi Guo
Biostatistics (Oxford, England)|June 14, 2025
Addressing the mean-variance relationship in spatially resolved transcriptomics data with spoonKinnary Shah, Boyi Guo, Stephanie C Hicks
Biorxiv : the Preprint Server for Biology|November 22, 2024
Addressing the mean-variance relationship in spatially resolved transcriptomics data with <i>spoon</i>Kinnary Shah, Boyi Guo, Stephanie C Hicks
Biorxiv : the Preprint Server for Biology|June 19, 2024
SpotSweeper: spatially-aware quality control for spatial transcriptomicsMichael Totty, Stephanie C Hicks, Boyi Guo
Biorxiv : the Preprint Server for Biology|December 22, 2025
Spotsweeper-py: spatially-aware quality control metrics for spatial omics data in the Python ecosystemXingyi Chen, Michael Totty, Stephanie C Hicks
Biostatistics (Oxford, England)|May 31, 2023
Quantification and statistical modeling of droplet-based single-nucleus RNA-sequencing dataAlbert Kuo, Kasper D Hansen, Stephanie C Hicks
Pageof 12

Showing results (1-10 of 117) with videos related to

Sort By:
Pageof 12
Genome Biology|December 1, 2019
methylCC: technology-independent estimation of cell type composition using differentially methylated regionsStephanie C Hicks, Rafael A Irizarry
Annual Review of Public Health|January 20, 2021
Reproducible Research: A RetrospectiveRoger D Peng, Stephanie C Hicks
Genome Biology|June 5, 2015
quantro: a data-driven approach to guide the choice of an appropriate normalization methodStephanie C Hicks, Rafael A Irizarry
The American Statistician|May 21, 2019
A Guide to Teaching Data ScienceStephanie C Hicks, Rafael A Irizarry
Nature Methods|June 6, 2025
SpotSweeper: spatially aware quality control for spatial transcriptomicsMichael Totty, Stephanie C Hicks, Boyi Guo
Biostatistics (Oxford, England)|June 14, 2025
Addressing the mean-variance relationship in spatially resolved transcriptomics data with spoonKinnary Shah, Boyi Guo, Stephanie C Hicks
Biorxiv : the Preprint Server for Biology|November 22, 2024
Addressing the mean-variance relationship in spatially resolved transcriptomics data with <i>spoon</i>Kinnary Shah, Boyi Guo, Stephanie C Hicks
Biorxiv : the Preprint Server for Biology|June 19, 2024
SpotSweeper: spatially-aware quality control for spatial transcriptomicsMichael Totty, Stephanie C Hicks, Boyi Guo
Biorxiv : the Preprint Server for Biology|December 22, 2025
Spotsweeper-py: spatially-aware quality control metrics for spatial omics data in the Python ecosystemXingyi Chen, Michael Totty, Stephanie C Hicks
Biostatistics (Oxford, England)|May 31, 2023
Quantification and statistical modeling of droplet-based single-nucleus RNA-sequencing dataAlbert Kuo, Kasper D Hansen, Stephanie C Hicks
Pageof 12