Eric and Wendy Schmidt Center

@Schmidt_Center

We seek to understand the programs of life by creating a strong community at the interface of ML and biology.
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Broad Institute ericandwendyschmidtcenter.org Joined August 2022

162 Following 1K Followers 430 Posts

Latest posts 5

Eric and Wendy Schmidt Center @Schmidt_Center 5d

Read the preprint by our former postdoctoral fellow @sebacultrera and @Schmidt_Center collaborators introducing GENESIS, a generative framework for predicting the distribution of single-cell responses from experimental covariates.

Sebastiano Cultrera di Montesano @sebacultrera 6d

1/11

Excited to share GENESIS, a generative model for predicting single-cell perturbation responses in unmeasured experimental conditions.

We show near-experimental-reproducibility performance, strong sample efficiency, and recovery of cancer signaling programs. 🧵

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Eric and Wendy Schmidt Center @Schmidt_Center Oct 29

🔬 New work from the @Schmidt_Center and @ETH_en shows that active adhesome genes and their regulators are spatially clustered in the nucleus, suggesting an association between chromatin organization and gene expression.

🔗 journals.plos.org/plosone/articl…

@broadinstitute

Eric and Wendy Schmidt Center @Schmidt_Center Oct 28

Join the @Schmidt_Center on Tuesday, November 3 at 4:00 pm (🍪 at 3:30 pm) for our colloquium with @eliasbareinboim, Associate Professor, Dept. of Computer Science and Director, CausalAI Lab at
@Columbia.

Learn more and register: ericandwendyschmidtcenter.org/events/elias-b…

@broadinstitute

Eric and Wendy Schmidt Center @Schmidt_Center Oct 19

🧠 New work by @Schmidt_Center postdoctoral fellow @EdJiayu with collaborators at @Columbia and @NYGenome introduces SONIC, a computational tool that finds #SpatialOmics patterns within tissue samples and compares them across tissues, no alignment needed: arxiv.org/pdf/2602.02825…

Jiayu Su @EdJiayu Oct 15

Our expanded preprint, SONIC, is out!

Spatial omics maps thousands of molecular patterns per sample. SONIC detects patterns amid noise and compares them across tissues, even when samples cannot be aligned.

arxiv.org/abs/2602.02825
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Eric and Wendy Schmidt Center @Schmidt_Center Oct 13

🩸 New work by @Schmidt_Center PhD fellow Hannah Schlüter and Director Caroline Uhler, with Trinadha Rao Sornapudi and G.V. Shivashankar of #PSI and @ETH, shows deep learning on #single-cell PBMC chromatin images reveals patient-level responses to radiation therapy.