RStudio Conference Experience from a First Time Attendee tl;dr rstudio:::conf is SO FUN! Workshops are aimed at neurotypical learners and everything is available later so go to the talks of speakers you admire.
Personal genomic educational testing (PGET) has been suggested as a strategy to improve student learning for pharmacogenomics (PGx), but no randomized studies have evaluated PGET’s educational benefit. We investigated the effect of PGET on student …
Differences in obesity and body fat distribution across gender and race/ethnicity have been extensively described. We sought to replicate these differences and evaluate newly emerging data from the All of Us Research Program (AoU). We compared body …
I’ve been MIA! Grad school is exhausting! Alas, it’s summer 2021 and I’m back to update my site with some w’s!
American Society of Clinical Pharmacology and Therapeutics Annual Meeting I presented my work on warfarin stable dose prediction in a diverse population featuring a large proportion of Hispanic/Latino reporting warfarin users at the ASCPT 2021 Annual Meeting (,virtually).
Pharmacogenomics Global Research Network (Actually this name is brand new, like yesterday. So in October, when this meeting occurred, the PGRN was still the PharmacoGenomics Research Network).
I presented a poster at the PGRN Annual Meeting in October 2020.
For this week’s #TidyTuesday data (European Energy) I made a bunch of plots and used cowplot to format them as one figure.
I had a lot of fun trying to make the plots look like the data it was plotting.
#TidyTuesday TidyTuesday, as I understand it, is a weekly challenge to improve upon your R coding abilities. The data is always freely available and the community is always supportive. See this tweet from the FOUNDER of TidyTuesday on my post (and the super easy code to embed a tweet in your website thanks to tweetrmd and webshot2) –>
Significance Skyline with Manhattan Plots Manhattan plots are a type of scatter plot that show the statistical significance of a genomic variant with an outcome of interest. Yan Holtz made a self-annotating manhattan plot for the R Graph Gallery.
Linear Regression is using a straight line to describe a relationship between variables. It finds the best possible fit through minimizing “error” of the model. Simple linear regression uses one independent variable and one dependent variable and multiple linear regression uses more than one independent variable with one dependent variable.