Online now!✨@kezhang2021@xingjchen7@f_monticolo@Salvato88775199 et al pair Raman imaging with spatial and single cell transcriptomics in aging and repair, and identify a lipid-linked Raman signature of p21+ cells @JianShuLab https://t.co/UXNAnUU1tY
We are excited to share RamanOmics, the first multimodal framework integrating snRNA-seq, spatial transcriptomics, and label-free Raman imaging to map the spatial biochemical–molecular architecture of aging, senescence, and tissue repair. #NIH SenNet https://t.co/IruMYEVEcH
We are excited to publish a spatially resolved single-cell multi-omic census of the placenta, contributing to the @humancellatlas project. The placenta plays an essential role in maintaining a healthy pregnancy, yet its function remains poorly understood. https://t.co/eqT8m0JgdK
How to decipher subcellular gene patterns in spatial transcriptomics data?
We're excited to share Bering, a graph neural network that harnesses subcellular gene colocalization graphs and transfer embeddings for joint cell segmentation and annotation (1/n)
https://t.co/qp2MvJVJ0g.
Interested in single cell genomics but need help getting started? Check out my lab's Single Cell Genomics Day on April 7. Talks will feature recent exciting computational and experimental advances and will be livestreamed at https://t.co/zG98gkckMU. Please RT/spread the word!