Adam Lång
@adaml92.bsky.social
Machine learning engineer and researcher. Previously PhD in computational biology in Neuro-oncology at Uppsala University
Reposted by Adam Lång
Plasma proteins and brain aging.
Assessment of ~3,000 proteins in ~11, 000 UK biobank participants w/ over 11,000 MRI phenotypes
1. Brain aging is non-linear, with protein waves at ages 57, 70 and 78
Assessment of ~3,000 proteins in ~11, 000 UK biobank participants w/ over 11,000 MRI phenotypes
1. Brain aging is non-linear, with protein waves at ages 57, 70 and 78
December 9, 2024 at 4:07 PM
Plasma proteins and brain aging.
Assessment of ~3,000 proteins in ~11, 000 UK biobank participants w/ over 11,000 MRI phenotypes
1. Brain aging is non-linear, with protein waves at ages 57, 70 and 78
Assessment of ~3,000 proteins in ~11, 000 UK biobank participants w/ over 11,000 MRI phenotypes
1. Brain aging is non-linear, with protein waves at ages 57, 70 and 78
Reposted by Adam Lång
hi everyone!! let's try this optimal transport again 🙃
December 5, 2024 at 12:58 PM
hi everyone!! let's try this optimal transport again 🙃
Reposted by Adam Lång
Good news everyone! A new version of graph-tool is just out! @graph-tool.skewed.de
graph-tool.skewed.de
Graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
#networkscience
graph-tool.skewed.de
Graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
#networkscience
December 2, 2024 at 12:55 PM
Good news everyone! A new version of graph-tool is just out! @graph-tool.skewed.de
graph-tool.skewed.de
Graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
#networkscience
graph-tool.skewed.de
Graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N
#networkscience