Posts tagged with single cell

  1. CellDiffusion: a generative model to annotate single-cell and spatial RNA-seq using bulk references

    We introduce the first manuscript of our PhD student Xiaochen Zhang! CellDiffusion bridges the gap between single-cell, spatial and bulk RNA-seq, using a diffusion-based generative model to create virtual cells that mimic the gene expression profiles …

    lecao-lab.science.unimelb.edu.au/2025/10/30/celldiffusion-a-generative-model-to-annotate-single-cell-and-spatial-rna-seq-using-bulk-references

  2. Φ-Space ST: a platform-agnostic method to identify cell states in spatial transcriptomics studies + seminar recording

    Dr Jiadong Mao has worked on an extension of his previous method Φ-Space for spatial transcriptomics studies! We are very excited about these new developments and …

    lecao-lab.science.unimelb.edu.au/2025/02/12/%cf%86-space-st

  3. Community-wide hackathons to identify central themes in single-cell multi-omics

    Last year we ran an online event as part of Banff International Research Station workshops. We designed and analysed three single cell multi-omics hackathons with another …

    lecao-lab.science.unimelb.edu.au/2021/08/06/community-wide-hackathons-to-identify-central-themes-in-single-cell-multi-omics

  4. Virtual workshop: Mathematical Frameworks for Integrative Analysis of Emerging Biological Data Types

    With Aedin Culhane (Dana-Farber Cancer Institute, Harvard TH Chan School of Public Health) & Elana Fertig (John Hopkins University), we ran a virtual workshop with the …

    lecao-lab.science.unimelb.edu.au/2020/06/19/virtual-workshop-singlecell-multiomics

  5. ARC funding to develop methods and protocols for multi-omics on single cells

    We were awarded a Discovery Project from the Australian Research Council (ARC) entitled ‘Empirical and computational solutions for multi-omics single-cell assays’ at the end of last …

    lecao-lab.science.unimelb.edu.au/2020/04/20/arc-funding-to-develop-methods-and-protocols-for-multi-omics-on-single-cells

  6. CellBench: a new package helping researchers to select the best tool for interpreting single-cell datasets.

    Much is still unknown about the trillions of cells in the human body. In the quest to better understand cells and the role they play in …

    lecao-lab.science.unimelb.edu.au/2019/05/28/cellbench-a-new-package-helping-researchers-to-select-the-best-tool-for-interpreting-single-cell-datasets