Happy to share that our paper on inferring spatially resolved expression from H&E images is published in #PLOSCompBio
I want to thank @leon_anavy , Zohar Yakhini, Ehud Rivlin and Daniel Freedman for their guidance and support driving this project
https://t.co/wyPVBxZoCX
Our work on "Partial Alignment of Multi-slice Spatially Resolved Transcriptomics Data" was accepted to #RECOMB2023. @benjraphael#XinhaoLiu
PASTE2 uses a novel partial optimal transport formulation for 3D reconstruction of partially overlapping ST slices
https://t.co/dMveOvAoQt
Many tools can only analyze spatial gene expression in 2D, so researchers from @Princeton developed #PASTE, a tool that integrates spatial transcriptomic data from multiple slices to generate a 3D view of gene expression
https://t.co/Tk8uCRTaui
@benjraphael@RonZeira
🖥️(4/8)
Using transcriptomic similarity and spatial coordinates, PASTE allows aligning and integrating spatial transcriptomics data generated from adjacent tissue slices. @RonZeira@benjraphael
https://t.co/2igB2Mas73
#RECOMB2021 begins tomorrow at 10 am US ET with a fantastic program (https://t.co/fjXs6cwPfo).
The first day of the conference will feature welcome remarks from the organizing committee, two distinguished keynote talks, and four sessions.
How close is a copy number profile to a whole genome duplication event?
Check out our #WABI2021 paper on “Genome Halving and Aliquoting Under the Copy Number Distance” with Geoffrey Mon and @benjraphael
https://t.co/2N5jFKubsP
Our new method PASTE aligns and integrates spatial transcriptomics data from multiple tissue sections. Great work by @RonZeira and @mrland99 1/4
https://t.co/rhFbNwPQBH