Yuzhou Chang
@Yuzhou_Chang
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Joint postdoc at OSUMC and BIDMC. Graph signal processing Spatial omics Graph representation learning
Ohio, USA
Joined March 2017
Lastly, I am very excited to integrate GSP, a novel mathematical theory based on graphs with novel types of spatial omics data. Moving forward, we will continue to explore and develop new theoretical models in conjunction with spatial biotechnology. ⏭️ To be continued ⏭️
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RT @yeoyaoyu: Spatial proteomics & transcriptomics are amazing technologies that have transformed how we study diseases. Can we do more? H…
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RT @Francesca_Fin_: Need help for investigating tissue complexity from spatial transcriptomic data? Try out our #spacedeconv R package! ht…
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RT @xbresson: Graph Machine Learning course Lecture 6 presents Graph-based Visualization 🌟 PCA, Robust PCA, Graph PCA are notable example…
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I am pleased to share that SpaGFT has been selected for the Editors’ Highlights for "Biotechnology and methods" at Nature Communications (50 best recently published papers). Hope this recognition helps demonstrate how GSP can benefit spatial biology. 😃
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RT @naturemethods: New from the Bartesaghi lab: MiLoPYP is a two-step, dataset-specific contrastive learning-based method for fast and accu…
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By providing bandwidth guidance to CAMPA, the model gains the ability to identify rare subcellular structures, such as the Cajal body and Set1/COMPASS complex, highlighting the potential of our method to refine and advance spatial omics analysis.
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