Reposted by Jerome
Super excited to get this out. This collab started a few years ago and is the first paper from it. Here, with experimental and computational approaches we:
1. establish that cell villages can be just as accurate (one might argue more accurate!) than arrayed-based designs
bsky.app/profile/bior...
1. establish that cell villages can be just as accurate (one might argue more accurate!) than arrayed-based designs
bsky.app/profile/bior...
Cell villages and Dirichlet modeling map human cell fitness genetics https://www.biorxiv.org/content/10.1101/2025.09.26.678880v1
September 29, 2025 at 4:47 PM
Super excited to get this out. This collab started a few years ago and is the first paper from it. Here, with experimental and computational approaches we:
1. establish that cell villages can be just as accurate (one might argue more accurate!) than arrayed-based designs
bsky.app/profile/bior...
1. establish that cell villages can be just as accurate (one might argue more accurate!) than arrayed-based designs
bsky.app/profile/bior...
Reposted by Jerome
How do we decouple the effects of two functional phenotypes in protein deep mutational scanning (DMS)?
Meet Cosmos, our new statistical framework for causal inference in multi-phenotype DMS.
www.biorxiv.org/content/10.1...
[1/n]
Meet Cosmos, our new statistical framework for causal inference in multi-phenotype DMS.
www.biorxiv.org/content/10.1...
[1/n]
Cosmos: A Position-Resolution Causal Model for Direct and Indirect Effects in Protein Functions
Multi-phenotype deep mutational scanning (DMS) experiments provide a powerful means to dissect how protein variants affect different layers of molecular function, such as abundance, surface expression...
www.biorxiv.org
August 4, 2025 at 3:08 PM
How do we decouple the effects of two functional phenotypes in protein deep mutational scanning (DMS)?
Meet Cosmos, our new statistical framework for causal inference in multi-phenotype DMS.
www.biorxiv.org/content/10.1...
[1/n]
Meet Cosmos, our new statistical framework for causal inference in multi-phenotype DMS.
www.biorxiv.org/content/10.1...
[1/n]
Check out our new preprint on Lilace, a statistical tool for scoring FACS-based deep mutational scanning experiments! Lilace directly models the shift between variant fluorescence distributions and provides score uncertainty estimates to better assess reliability and reproducibility. (1/3)
Accurate variant effect estimation in FACS-based deep mutational scanning data with Lilace
Deep mutational scanning (DMS) experiments interrogate the effect of genetic variants on protein function, often using fluorescence-activated cell sorting (FACS) to quantitatively measure molecular ph...
www.biorxiv.org
June 30, 2025 at 4:03 PM
Check out our new preprint on Lilace, a statistical tool for scoring FACS-based deep mutational scanning experiments! Lilace directly models the shift between variant fluorescence distributions and provides score uncertainty estimates to better assess reliability and reproducibility. (1/3)