#ResultatScientifique๐| Une nouvelle mรฉthode permet de prรฉdire comment les cellules รฉvoluent et se diffรฉrencient dans le temps et lโespace. ๐ป
โ๏ธ @cantinilab.bsky.social et @gabrielpeyre.bsky.social
๐ @naturemethods | buff.ly/XJlsK5P
11.12.2025 16:30
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New preprint out on probabilistic control of cell fate in DMD ๐ฌ๐ฒ
Using our insilico framework, we infer dynamic GRN and identify targets to steer differentiation decisions. A nice example of how sys.bio can turn stochasticity into actionable insight.
Preprint ๐ www.biorxiv.org/content/10.1...
20.11.2025 09:34
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๐ Our new Science paper is out (w/ B DeMeo, D Burkhardt, A Shalek, M Cortes): www.science.org/doi/10.1126/...
We show that active learning + transcriptomic perturbations can guide which exps to run next, boosting phenotypic hit rates >13x. AI not just predicting bio, but designing it. ๐
25.10.2025 13:24
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Catalyzing computational biology research at an academic institute through an interest network
Author summary Scientists have widely adopted computing in their research, and the relative importance of computational methods in biology continues to increase. However, a persistent gap exists betwe...
'At the Scripps Research Institute, (...) we created the Computational Biology and Bioinformatics (CBB) affinity group, a trainee-led community for the discussion of computational biology/bioinformatics with the goal of facilitating knowledge exchange.'
21.09.2025 07:58
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Reconstructing Waddington's Landscape from Data
The development of a zygote into a functional organism requires that this single progenitor cell gives rise to numerous distinct cell types. Attempts to exhaustively tabulate the interactions within d...
Latest on Waddington Landscapes: Computational methods to fit dynamical landscapes directly to single cell data
Applied to neural tube patterning shows morphogen-signalling landscapes can be linearly interpolated
Connects interpretable landscape models with data
www.biorxiv.org/content/10.1...
14.08.2025 07:53
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