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...

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.

Patrick Martin@pcnmartin.bsky.social · 7mo ago

Another great piece of work by Guangzheng Weng and Kyoung-Jae Won's Lab! Glad to have been part of it. The model incorporates LLM embeddings and ChIP-seq data in a Transformer-based Graph Neural Network to generate GRN predictions. advanced.onlinelibrary.wiley.com/doi/10.1002/...

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

From prompt engineering to agent engineering: expanding the AI toolbox with autonomous agentic AI collaborators for biomedical discovery - BioData Mining

biodatamining.biomedcentral.com

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

PhD in Health Artificial Intelligence

cedars-sinai.edu

CellNeighborEX: deciphering neighbor‐dependent gene expression from spatial transcriptomics data | Molecular Systems Biology www.embopress.org/doi/full/10....

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...

embopress.org

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...

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...

nature.com

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...

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...

nature.com