Mor Nitzan

Great work by
@jonathankarin.bsky.social and @zoepiran
on modeling and generative design of swarm dynamics

journals.aps.org/pre/abstract...

Thanks Carlos!

3 reviews on planning, execution, & validation of transcriptomic experiments in neuroscience published in @natureportfolio.bsky.social #NatureNeuroscience.
A MUST READ if you're doing transcriptomics.
3 reviews, an amazing editorial, a beautiful cover – this is the issue of the year!
(mini thread)

Characterizing single-cell and spatial data structure and identifying gaps in our knowledge of their annotations by analyzing deep learning training dynamics!
Led by @jonathankarin.bsky.social and Reshef Mintz, with
@ravehlab.bsky.social

Interpreting single-cell and spatial omics data using deep neural network training dynamics - Nature Computational Science The Annotatability framework analyzes neural network training dynamics to interpret single-cell and spatial omics data. It identifies erroneous annotations and ambiguous cell states, infers trajectori...

1/3 Annotatability is out in Nature Computational Science! With Reshef Mintz,
@ravehlab.bsky.social and @mor_nitzan www.nature.com/articles/s43...
.