
Ron Zeira
12 posts


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
doi.org/10.1371/journa…
English

הדבר שהכי מפחיד סטודנטים צעירים כשהם מרצים על המחקר שלהם לראשונה זה השאלות.
הם מתכוננים עם שקפים נסתרים במצגת לכל שאלה שעשויה לעלות והמהדרין גם שותלים בקהל חבר שישאל שאלה מוסכמת כדי להרוויח כמה נקודות על התשובה.
ראש הממשלה לא אמור להיות שקול לסטודנט צעיר שמדבר לראשונה
אבישי גרינצייג@avishaigrinzaig
השאלה של ישראל כהן תואמה מראש עם לשכת נתניהו
עברית
Ron Zeira retweetledi

Ben Raphael is next, PASTE2: Partial Alignment of Multi-slice Spatially Resolved transcriptomics data. #RECOMB2023

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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
biorxiv.org/content/10.110…
RECOMB Conference Series@RECOMBconf
15 more papers are accepted to #RECOMB2023 after a round of revisions. The list is now updated: recomb2023.bilkent.edu.tr/program.html
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Ron Zeira retweetledi

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
biotechniques.com/molecular-biol…
@benjraphael @RonZeira
🖥️(4/8)
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Ron Zeira retweetledi

Now published in revised form in @naturemethods after a constructive review process.
rdcu.be/cNFXO
Ben Raphael@benjraphael
Our new method PASTE aligns and integrates spatial transcriptomics data from multiple tissue sections. Great work by @RonZeira and @mrland99 1/4 biorxiv.org/content/10.110…
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A beautiful summary of our method PASTE by @MollySharlach
@mrland99 @polishstudent17 @benjraphael
engineering.princeton.edu/news/2022/05/1…
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Ron Zeira retweetledi

Ron Zeira retweetledi

Using transcriptomic similarity and spatial coordinates, PASTE allows aligning and integrating spatial transcriptomics data generated from adjacent tissue slices. @RonZeira @benjraphael
nature.com/articles/s4159…

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Check out our presentation on “Alignment and Integration of Spatial Transcriptomics Data” tomorrow at #RECOMB2021
recomb2021@recomb21
#RECOMB2021 begins tomorrow at 10 am US ET with a fantastic program (recomb2021.org/program). The first day of the conference will feature welcome remarks from the organizing committee, two distinguished keynote talks, and four sessions.
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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
drops.dagstuhl.de/opus/volltexte…
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