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wonkj.bsky.social

@wonkj.bsky.social
5 followers 9 following 5 posts
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Reposted by @wonkj.bsky.social
Patrick Martin @pcnmartin.bsky.social · 05/09/2026
How confident are you in foundation model cell type annotations? This paper explores foundation model confidence scores and offers recalibrations methods especially in the context patient cohort annotations! Congrats to Guangzheng Weng and @wonkj.bsky.social www.biorxiv.org/content/10.6...
biorxiv.org
Cross-domain confidence reliability and remappability of frozen single-cell representations
Single-cell foundation models are increasingly adopted for downstream applications such as cell-type prediction. However, these predictions are often utilized without assessing their reliability, or b...
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wonkj.bsky.social @wonkj.bsky.social · 12/05/2026
Excited to share our new approach to studying cell-cell interactions from #visium #spatial data — without relying on predefined ligand-receptor pairs. The method identifies genes influenced by CCI that were previously difficult to detect. Led by Hyobin. www.biorxiv.org/content/10.6...
biorxiv.org
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wonkj.bsky.social @wonkj.bsky.social · 21/01/2026
I envision how AI could fundamentally transform the way research is conducted. PersonaAI is an autonomous agent designed to mimic the workflow of a human researcher in hypothesis generation and validation. Thank the BioNexus team for collaboration. lnkd.in/gqQ4Xmht.
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wonkj.bsky.social @wonkj.bsky.social · 16/01/2026
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Reposted by @wonkj.bsky.social
Jason Moore @moorejh.bsky.social · 13/11/2025
From prompt engineering to agent engineering: expanding the AI toolbox with autonomous agentic AI collaborators for biomedical discovery biodatamining.biomedcentral.com/articles/10.... #artificialintelligence #agenticAI #agentengineering
biodatamining.biomedcentral.com
From prompt engineering to agent engineering: expanding the AI toolbox with autonomous agentic AI collaborators for biomedical discovery - BioData Mining
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Reposted by @wonkj.bsky.social
Jason Moore @moorejh.bsky.social · 27/09/2025
Application period for the Cedars-Sinai PhD Program in Health AI is now OPEN! Come study cutting-edge AI in a top hospital with clinical rotations, clinical collaborators, & easy access to clinical data - please RP! www.cedars-sinai.edu/education/gr... #artificialintelligence #bioinformatics #phd
cedars-sinai.edu
PhD in Health Artificial Intelligence
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wonkj.bsky.social @wonkj.bsky.social · 24/08/2025
CellNeighborEX: deciphering neighbor‐dependent gene expression from spatial transcriptomics data | Molecular Systems Biology www.embopress.org/doi/full/10....
embopress.org
CellNeighborEX: deciphering neighbor‐dependent gene expression from spatial transcriptomics data | Molecular Systems Biology
image image CellNeighborEX is a computational tool for exploring transcriptomic changes caused by direct cell contact in spatial transcriptomics data. CellNeighborEX provides a new perspective on cell...
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Reposted by @wonkj.bsky.social
Patrick Martin @pcnmartin.bsky.social · 21/08/2025
Vesalius 2.0 is in ‪‪@natcomms.nature.com‬ ! We show how using spatial context improves cell-to-cell mapping across heterogenous spatial samples. Thanks to the reviewers, editors, and collaborators for making this possible. GitHub: github.com/WonLab-CS/Ve... Paper: www.nature.com/articles/s41...
nature.com
Multi-scale and multi-context interpretable mapping of cell states across heterogeneous spatial samples - Nature Communications
The alignment of heterogeneous spatial samples has become a growing challenge. Here, authors present a multi-scale, multi-context, and interpretable mapping strategy to map cells across space, time, a...
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Reposted by @wonkj.bsky.social
Qian Cheng @qchengx1e3.bsky.social · 22/08/2025
A multi-scale, multi-context, and interpretable mapping strategy to map cells across space, time, and disease. @pcnmartin.bsky.social @wonkj.bsky.social #spatialMapping #spatialOmics #BiotechNatureComms www.nature.com/articles/s41...
nature.com
Multi-scale and multi-context interpretable mapping of cell states across heterogeneous spatial samples - Nature Communications
The alignment of heterogeneous spatial samples has become a growing challenge. Here, authors present a multi-scale, multi-context, and interpretable mapping strategy to map cells across space, time, a...
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