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Check out our updated #bioRxiv preprint on #bionformatics #Rstats method CRAWDAD (Cell-type Relationship Analysis Workflow Done Across Distances) for quantifying cell-type spatial relationships in #spatialomics data 📰: biorxiv.org/content/10.110… 💻: github.com/JEFworks-Lab/C…

How can we build an Al Virtual Cell 🔮🧬 that simulates all functions and interactions of a cell? How will it transform research and drive breakthroughs in programmable biology, drug discovery and personalized medicine? 🚀 Take a look at our Perspective! arxiv.org/pdf/2409.11654

Excited to share our first preprint on a novel spatial multi-omics technology that co-profiles five modalities within the same tissue section. Great collab w/ Marek Bartosovic and Mingyao Li . Kudos to my postdoc Pengfei Guo and PhD student Liran Mao ! biorxiv.org/content/10.110…

Exciting opportunity! I am hiring a postdoc to join the group and to develop computational methods for the analysis of biomedical data including imaging and genomics data at a single-cell or spatial resolution 🧬 stephaniehicks.com/join

iStar predicts gene expression with near-single-cell resolution from histology images go.nature.com/47m0Mgk rdcu.be/dUtvJ

3D cellular CODA maps of the fallopian tube are used to guide the design of "assembloids" that recapitulate the complex architecture and ciliated-based motion of oocytes. See more here: science.org/doi/10.1126/sc…

Honored to collaborate with Rong Fan and Zhiliang on this exciting paper! Glad to see that our iStar tool can further enhance the spatial resolution to near single-cell level, enabling the exploration of RNA biology with unprecedented precision.

Sunbelt Spatial Omics Seminars! Highlighting rising stars... Daiwei (David) Zhang UNC November 15th, 2 pm EST Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology Register: lnkd.in/eDH5kM4s (Inspired by Rong Fan )

Thrilled to share two bioRxiv papers from my lab and Lingyan Shi, reporting on the SAME tissue section multi-modality spatial omics! 🤩🥳🙂

In the latest issue! Spatially exploring RNA biology in archival formalin-fixed paraffin-embedded tissues dlvr.it/TGCzLH

What gets erased when you integrate single cell data, and can you recover it? Finally, we know what happens and how to recover the lost signals. So excited to share CellANOVA, published online today in NBT! go.nature.com/4hZnzW5

The wait is over!! We are thrilled to announce that we have chosen Spatial Proteomics as 2024’s Method of the Year! 🥳 For more on Spatial Proteomics and a road map to this special issue, please see this month’s Editorial or read on in this thread. nature.com/articles/s4159…

ft. Huasheng Yu, Suna L. Cranfill, Mayank Gautam, Yijing Su, You Lu, Song and Ming Labs, Minghong Ma, Wenqin Luo (Mahoney Institute for Neurosciences @UPenn), Hanying Yan, Mingyao Li (Dept. of Biostatistics, Epidemiology & Informatics), Stephen Prouty, John Seykora (Dermatology) & Hao Wu | 吴昊 (Penn Genetics) nature.com/articles/s4159…

Spatial proteomics & transcriptomics are amazing technologies that have transformed how we study diseases. Can we do more? Here's our new preprint that combines both assays into one! (massive thanks to Sizun Jiang Yuzhou Chang Huaying Qin Ma BMBL et al. biorxiv.org/content/10.110…

"As the field of spatial omics advances, it has become possible to measure multiple-omics modalities from the same tissue slice, providing complementary information and offering a more comprehensive, insightful view." Mingyao Li, Prof. of Biostatistics and Digital Pathology.

ICYMI: A new AI-powered tool developed by Dept. of Biostatistics, Epidemiology & Informatics can detect cell-level characteristics of cancer by looking at incredible amounts of data from small pieces of tissue—some only as wide as five human hairs. spr.ly/6013xdASJ

Multiplexed spatial mapping of chromatin features, transcriptome & proteins in tissues ft. Pengfei_Guo, Liran Mao, Chin Nien Lee, Mingyao Li, Yanxiang Deng (Penn Path & Lab Medicine), Yufan Chen & Angelysia Cardilla (Penn Bioengineering) Penn Epigenetics Dept. of Biostatistics, Epidemiology & Informatics nature.com/articles/s4159…

Attending the #AACR25 Methods Workshop on Integrating Computational Pathology, AI, and Spatial Multi-Omics in 2D and 3D? Read session speakers Linghua Wang, MD, PhD Mingyao Li & Tae Hyun Hwang's commentary on the topic in Cancer Discovery: doi.org/10.1158/2159-8…

Today in nature, we report a spatial single-cell atlas of human cortical development, revealing surprisingly early specification of human cortical layers and areas. We built an interactive browser to explore the spatial data: walshlab.org/research/corte… Paper link below👇

New research out in nature uses spatial transcriptomics to reveal human cortical layer & area specification ft. Kyle Coleman, Shunzhou Jiang, Chunyu Luo & Mingyao Li (Dept. of Biostatistics, Epidemiology & Informatics) nature.com/articles/s4158…