Last updated: 2018-07-22
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File | Version | Author | Date | Message |
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Rmd | 30e7d23 | Jason Willwerscheid | 2018-07-22 | wflow_publish(c(“analysis/index.Rmd”, |
html | fce2b77 | Jason Willwerscheid | 2018-07-22 | Build site. |
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Rmd | 6422a12 | Jason Willwerscheid | 2018-06-18 | wflow_publish(“analysis/index.Rmd”) |
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Rmd | 94b77ff | Jason Willwerscheid | 2018-06-16 | wflow_publish(“analysis/index.Rmd”) |
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Rmd | 6e63015 | Jason Willwerscheid | 2018-06-09 | wflow_publish(“analysis/index.Rmd”) |
html | 53ca12c | Jason Willwerscheid | 2018-06-09 | initial setup |
Rmd | 3314e19 | Jason Willwerscheid | 2018-06-09 | Start workflowr project. |
Introduction. A vignette.
MASH v FLASH simulation results. Compares FLASH fits to MASH fits in a number of settings. Uses various methods to fit the FLASH object. The “OHL” method is best.
MASH v FLASH on GTEx. Compares FLASH to MASH using data from the GTEx project. Results are similar, but FLASH is more conservative.
MASH v FLASH detailed simulation study. Using the “OHL” method, compares the performance of FLASH-pn, FLASH-ash, and MASH in a single simulation setting. FLASH and MASH perform differently on different covariance structures. There is little or no advantage to using ash priors rather than point-normals.
MASH v FLASH detailed GTEx study. Uses an improved workflow to examine differences in MASH and FLASH fits to GTEx data. Particularly strong effects in a single condition might cause MASH to miss smaller effects that are shared among conditions. But FLASH might miss very small effects that are shared across all conditions.
A first attempt. Stowed and forgotten.
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