Identifying signals associated with psychiatric illness utilizing language and images posted to #Facebook | npj Schizophrenia https://t.co/wiCGU5jRZ7
#Schizophrenia#Machine_learning
excited to share our new approach called `dotdotdot` for automatically processing and analyzing smFISH data (geared towards @ACDbio 's #RNAscope): https://t.co/rktFXMCYq2 led by @kr_maynard and @MadhaviTippani and co-supervised by @martinowk 1/n
I've spent my PhD learning what turns out to be work-from-home friendly science. I also incessantly keep notes & links.
So, here are lists of all the resources I know for learning data analysis, open-source development, open-access data and open-science practices, etc:
“....most people who die of the disease will do so within 14-19 days. People who recover are released from hospital after 2 and a 1/2 weeks.”
This is a crucial video on how you know from day 1 if you’ve contacted the virus + what happens in your body.
So, we ran a GWAS of sex (females vs males) on the autosomes in > 3.3M individuals...
... we found 158 genome-wide significant loci.🙀
One example: rs10468280 in FTO (P=4.4x10-36)
What does it mean?
https://t.co/Ok5HBhegT1
Widespread cell-type-enriched ageing and genetic effects in the DG-GCL that were missing in corresponding bulk hippocampus RNA-seq data.
#RNAseq#Schizophrenia#SingleCellRNAseq
The single-cell eQTL consortium has published its position paper in eLife: https://t.co/zpLBqtRfnl. >20 groups have joined this collaboration to identify cell-type specific eQTLs. Interested to join? Please get in touch!
Find out more at: https://t.co/vmDlkhKhSb #scRNAseq
It’s been brought to my attention not every single human being has had the privilege of watching this phenomenal German commercial. It deserves a goddamn Oscar imho