Jiayu Su

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Jiayu Su

Jiayu Su

@EdJiayu

PhD student @Columbia DSB | Class of 2020 @Peking University (he/him)

Katılım Eylül 2016
130 Takip Edilen81 Takipçiler
Jiayu Su
Jiayu Su@EdJiayu·
8/ Finally shoutout to my co-authors, especially Jun Hou Fung for extending the work to cell-type-specific SVG tools as well. And to Gemini 3 Pro: Your PI might skip the math in the Supplementary Notes, but G3P surely read every equation. 🤖📝
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Jiayu Su
Jiayu Su@EdJiayu·
7/ Scalability: 1 million spots in under 1 second Modern spatial data is massive. Leveraging the shared quadratic form, we optimized pattern detection (FFT for grids, implicit solvers for irregular shapes) to be orders of magnitude more efficient. github.com/JiayuSuPKU/Equ…
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Jiayu Su
Jiayu Su@EdJiayu·
1/ Human eyes are great at spotting spatial patterns under a microscope. 🔬 So why do computational methods struggle so much? Our new work reveals the mathematical answer + provides a scalable solution 📄 arxiv.org/html/2602.0282…
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Jiayu Su
Jiayu Su@EdJiayu·
Please check our SuppNote for more methodological details and our unsuccessful attempts with parametric models (and prove my PI wrong who claimed no one would read them!) biorxiv.org/content/10.110…
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Jiayu Su
Jiayu Su@EdJiayu·
[5/n] For differential usage analysis, we implement a conditional HSIC test that controls for spatial confounding by removing location effects from both isoform usage and potential regulators
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Jiayu Su
Jiayu Su@EdJiayu·
[1/n]📢How is your spatial analysis *transcript*-omic if transcripts are only aggregated to gene counts? Introducing SPLISOSM, our new computational method for learning the isoform landscape and its regulation from spatial transcriptomics data doi.org/10.1101/2025.0…
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Jiayu Su
Jiayu Su@EdJiayu·
[6/n] SPLISOSM works across ST platforms with isoform information (SiT, Visium fresh frozen, Slide-seqV2 etc). We envision SPLISOSM to uncover additional *transcript*-omic insights from existing data in health and disease😉. Code available at github.com/JiayuSuPKU/SPL…
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Jiayu Su
Jiayu Su@EdJiayu·
[5/n] In glioma, microenvironment reshapes transcript diversity during tissue remodeling and immune infiltration. We found changes in antigen presentation, signal transduction, adhesion, cytoskeleton, and ribosome pathways (the spliceosome machinery even modifies itself!)
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