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What are the challenges of single cell multi-omics data integration and evaluation? Next Monday, Xiuwei Zhang will present on two methods, scDisInFact and scMultiSim, which can overcome some of these issues. Join us on Zoom!

Dr Wang is an expert in statistical network models. Her research is likely to give us clues about, for instance, how information spreads throughout a social network. She hopes her success and being awarded The Moran Medal will inspire more girls to pursue a career in STEM.

Congratulations to Rachel on being awarded The Moran Medal 🎉

Next Monday, we are thrilled to have Martin Jinye Zhang discuss the benefits of using scDRS. It can identify subpopulations of disease-associated cells not captured by existing cell-type labels, providing insight into schizophrenia and inflammatory bowel disease. Join us on Zoom!

How can we increase the accuracy of inferred context-specific Gene Regulatory Networks (GRNs) from genomics data? Next week, join us on Zoom with Zhana Duren都仁扎那 who will present on scPECA, a method which can provide 3 times higher accuracy compared to other methods.

We are extremely delighted to host Professor Melanie Bahlo from WEHI (Walter and Eliza Hall Institute) to present on multi-Omics and AI approaches for the study of retinal diseases such as macular telangiectasia Type (MacTel). We look forward to seeing you in person or on Zoom!

Altered gut microbiota has been linked to obesity and may influence weight loss. How do omic profiles respond to a weight loss intervention and how do they relate to weight loss responsiveness? Join us in person or on Zoom next Monday with Maggie Stanislawski to hear more!

Next Monday, hear Anna Cuomo discuss the challenges in single-cell population genetics. She will present CellRegMap, a statistical framework to map regulatory variants across the continuous manifold of cellular environments estimated from scRNA-seq. Join in person or on Zoom!

Next Monday, Helen and I will share our latest work in cell segmentation of subcellular spatial data. Join us in person (CPC) or via zoom to know more about our new method and new evaluation framework 😬

I'm excited to share our publication of Stabilized mosaic single-cell data integration using unshared features 🎉 This was one of my final projects during my postdoc CRUK Cambridge Institute EMBL-EBI and I'm immensely grateful to MarioniLab & Carolina Guibentif for their efforts and support!

.Yingxin Lin Jean Yang Sydney Precision Data Science Centre present scMerge2, a computational method for integrating a large COVID-19 data collection with over five million cells to reveal distinct signatures of disease progression. #BiotechNatureComms nature.com/articles/s4146…

Sydney Precision Data Science Centre Yingxin Lin Jean Yang present BIDCell, a biologically informed, deep learning-based cell segmentation framework for subcellular in situ spatial transcriptomics. Nature Communications #spatialtranscriptomics #BiotechNatureComms nature.com/articles/s4146…

Authors Haoyang Li Yingxin Lin Xin Gao Hongyu Zhao present SANTO, a coarse-to-fine method for spatial omics data integration across platforms and modalities. #BiotechNatureComms Nature Communications nature.com/articles/s4146…

Very proud of our new #SingleCell work on #PTSD and #MDD out in nature today. Paper: nature.com/articles/s4158… News and views: nature.com/articles/d4158… Press: medicine.yale.edu/news-article/s… Data: doi.org/10.5281/zenodo… Code: github.com/mjgirgenti/PTS…