Yes! Code is available at github.com/collinwa/mcfa. I guess I forgot to include the link in the preprint 😅, will update later

Anshul Kundaje David Ochoa David Garfield (@[email protected] and post) I think the NIH and other big funders should DEMAND such a tool, at least for research uses, otherwise their funds can not be used for cloud. Big bodies like NIH and DOD can make it happen. We do not have the leverage

.Bogdan Pasaniuc @ #cgsi2022 “Nothing in PGS makes sense except in light of socio-genomic context”

Had a convo with someone who didn't know this so here's an annual reminder. If you're a URM undergrad, grad, or postdoc in a lab with a major NIH grant (including DP1, DP2, DP4, DP5, R00, R01, R03, R15, R21, R35, etc) you can possibly apply for a diversity supplement. Why do it?

Excited to share our paper, out today in nature, where we characterize transcriptome variation in human tissues by long-read sequencing. Huge thanks to Dafni Beryl Cummings Garrett Garborcauskas Daniel MacArthur and other collaborators. 🧵 nature.com/articles/s4158…

First time at #ASHG with the lab! Tonight Brielin Brown has a poster spotlight in the second session (7-8.15pm): "Multiset correlation and factor analysis enables exploration of multi-omic data" (and swing by his poster PB3083 3pm Thurs for more!)

Yes, comparison to other methods + more analyses of the hidden spaces looking carefully at the factor loadings. Altogether this is a great example of how data integration can be used to generate plausible mechanistic hypotheses linking genetics -> disease!