Sandeep Kambhampati
@SandeepKambham2
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Super cool method for spatial transcriptomics data from @uthsavc!
GASTON, our method to learn “topographic maps” of gene expression, is out now @naturemethods! IMO the coolest part is a new model of *spatial gradients in sparse data*. As is typical for bio papers, it’s buried in Methods, but see below for a quick outline on the math 👇
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Super cool work from @rumya_r and @mircoscopy!
1/ Thrilled to share an advancement in gene therapy from my PhD in @NatureComms! We've developed a new approach to reduce immune responses while maintaining efficiency—paving the way for safer, more effective therapies. Big thanks to @zhangf & @mircoscopy!
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@sciqst Thank you for your interest! Our main advance is to enable cross-sample spatial differential analysis. Any imaging modality (fluorescence, H&E, etc.) can easily be concatenated to the input and passed into the model, and we aim to add functionality for this in the future.
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Thanks to all of the coauthors: Luca D’Alessio, @ordabayevy, Fedor Grab, and Stephen Fleming for their contributions and the @insitubiology and Cellarium ML groups for their support!
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So excited!!
Thrilled to be opening my lab this fall at the Ragon Institute! Come work with us to build new tools for immunology.
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RT @AndyRusss: Single-cell or spatial? Our new technology - Slide-tags - allows both in the same experiment, enabling true single-cell m…
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