141 karma · joined November 9, 2017
it doesnt have to be subways -- the willamette flood plain isnt great for subways anyway. portland should continue to build out its bus service and cycling infrastructure. portland is already pretty reasonable for living without a car, it will only improve with density.
Fwiw rust has completely replaces cpp for high performant bioinfx code in my workflows. Sooo much easier to write than cpp!
https://www1.nyc.gov/assets/doh/downloads/pdf/imm/covid-19-d...
Specifically has numbers for NYC. You can sum the boroughs or use the total listed below. Using confirmed by pcr cases you get ~15k/8.6 = ~.175% as you said.
Using probable excess deaths adds an extra 5k deaths, hence ~.25%
In anycase, even a rate of ~.1% would be absurd given ~20% of people are testing positive by antibody tests.
odds of crash a => 97% => 3 / 100
odds of crash for b => 99.99% => 1 / 10000
improvement (odds ratio in this case) is then 300x = odds of crash for b / odds of crash for a
they used multiple validation cohorts, they controlled for environmental factors, they controlled for non-autosomal factors, applied multiple methods to boost the predictive performance of their model. adding more snps typically leads to an overfit and poor performing model on validation cohorts, which is why they use so much rigor and end up with usually 100-400 snps for each of the phenotypes.
in anycase they found a lot more than 10 SNPs, and they did more than one analysis in the paper.
Parent educational status is a significantly better predictor than the polygenic risk score for educational attainment. heritability (also known as r^2) for cognitive performance they estimated at an even lower ~7-10%.
I was taught a decade ago that rolling your own in genomics isn't as bad of a decision as it seems.
Wtf is going on in California.
a biopsy from your peripheral plasma, opposed to solid tumor. A big issue in cancer medicine is it's super fucking hard to get any kind of noninvasive measurement. Typically it's done with surgery or with CAT scans, which have extremely low precision.
Research in the last few years has been pointing to the idea that we can detect tumor derived DNA fragments in plasma. The challenge being, healthy dna makes up 99.9% of it, this means that currently the methods only work when the tumor burden (metastatic for instance) is high. Not ideal for early detection or treatment monitoring. But if the computational tools improve (rn none assume such a low mixture), you could see sensitivity and precision increase to the point that it's useful for predicting therapeutic outcomes and for early detection.
Let children and elderly pet/feed and you suddenly have a well behaved protection dog.
Once scientists in biology and healthcare get on board like they are in linguistics and computer vision I'd expect things to pick up.