So pleased to be a part of this brilliant effort! Thank you to all involved especially @haowen-zhou.bsky.social and @stephaniehicks.bsky.social !!
This project was borne out of the need for consistent and scalable clustering across many (atlas-scale!) spatial transcriptomics samples 💻📈🧬
This project was borne out of the need for consistent and scalable clustering across many (atlas-scale!) spatial transcriptomics samples 💻📈🧬
Reposted from
Stephanie Hicks
Excited to share a new algorithm that we have been working on over the last year.
💡 idea is to extend mutual nearest neighbors for
#spatial data. We call it spatial mutual nearest neighbors (spatialMNN) 😄
Thank you @haowen-zhou.bsky.social @pratibha-panwar.bsky.social who led this work! 👏 🧬🖥️🧪
💡 idea is to extend mutual nearest neighbors for
#spatial data. We call it spatial mutual nearest neighbors (spatialMNN) 😄
Thank you @haowen-zhou.bsky.social @pratibha-panwar.bsky.social who led this work! 👏 🧬🖥️🧪
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