Tal Korem
@tkorem.bsky.social
Microbiome, metagenomics, ML, and reproductive health. All views are mine. So are all your base
As long as three reviewers keep reading each proposal, doesn't really address anything either
November 13, 2025 at 11:23 PM
As long as three reviewers keep reading each proposal, doesn't really address anything either
Reposted by Tal Korem
White paper: github.com/aqlaboratory...
GitHub Repo: github.com/aqlaboratory...
Huggingface: huggingface.co/OpenFold/Ope...
Testimonials: openfold.ghost.io/openfold3-co...
GitHub Repo: github.com/aqlaboratory...
Huggingface: huggingface.co/OpenFold/Ope...
Testimonials: openfold.ghost.io/openfold3-co...
github.com
October 28, 2025 at 6:30 PM
White paper: github.com/aqlaboratory...
GitHub Repo: github.com/aqlaboratory...
Huggingface: huggingface.co/OpenFold/Ope...
Testimonials: openfold.ghost.io/openfold3-co...
GitHub Repo: github.com/aqlaboratory...
Huggingface: huggingface.co/OpenFold/Ope...
Testimonials: openfold.ghost.io/openfold3-co...
No idea. Still working through this.
September 19, 2025 at 3:06 AM
No idea. Still working through this.
This is from the very paper you linked to - Figure S5. They claim that this has a p-value of 1. It's not here and there, this is what most results look like, and this is a large part of the basis for claiming that there are no robust associations with other tumors.
September 19, 2025 at 3:01 AM
This is from the very paper you linked to - Figure S5. They claim that this has a p-value of 1. It's not here and there, this is what most results look like, and this is a large part of the basis for claiming that there are no robust associations with other tumors.
So you look at this figure and your interpretation is "no signal"?
September 18, 2025 at 11:50 PM
So you look at this figure and your interpretation is "no signal"?
This will also likely reduce the number of study sections, firing SROs and making them less specialized.
July 17, 2025 at 9:51 PM
This will also likely reduce the number of study sections, firing SROs and making them less specialized.
A hopefully paywall-free link:
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Processing-bias correction with DEBIAS-M improves cross-study generalization of microbiome-based prediction models
Nature Microbiology - DEBIAS-M corrects technical variability in microbiome data in a manner both interpretable and suitable for machine learning. In extensive benchmarks, DEBIAS-M facilitates...
www.nature.com
March 27, 2025 at 4:03 PM
A hopefully paywall-free link:
www.nature.com/articles/s41...
www.nature.com/articles/s41...