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Showing 1–9 of 9 results
Advanced filters: Author: Luke Zappia Clear advanced filters

  • A single-cell atlas of the human lungs, integrating data from 2.4 million cells from 486 individuals and including samples from healthy and diseased lungs, provides a roadmap for the generation of organ-scale cell atlases.

    • Lisa Sikkema
    • Ciro Ramírez-Suástegui
    • Fabian J. Theis
    ResearchOpen Access
    Nature Medicine
    Volume: 29, P: 1563-1577

  • A transcriptional analysis of kidney organoids reveals batch effects as the key drivers of variation, mainly through differences in maturity, and provides a list of highly variable genes and a method for estimating differentiation stage for improved disease modeling.

    • Belinda Phipson
    • Pei X. Er
    • Melissa H. Little
    Research
    Nature Methods
    Volume: 16, P: 79-87

  • Analyzing Feret diameter is a straightforward way to assess the quality of unguided brain organoids. Low-quality brain organoids show a high Feret diameter, accompanied by a higher proportion of unintended mesenchymal cells.

    • Tom Boerstler
    • Daniil Kachkin
    • Florian Krach
    ResearchOpen Access
    Communications Biology
    Volume: 8, P: 1-11

  • Incorporating a series of analytical steps, from data extraction and quality control to the generation of low-dimensional representations and to longitudinal analyses, an open-source software is proposed to standardize current electronic health record data processing and analysis pipelines.

    • Lukas Heumos
    • Philipp Ehmele
    • Fabian J. Theis
    ResearchOpen Access
    Nature Medicine
    Volume: 30, P: 3369-3380

  • Practitioners in the field of single-cell omics are now faced with diverse options for analytical tools to process and integrate data from various molecular modalities. In an Expert Recommendation article, the authors provide guidance on robust single-cell data analysis, including choices of best-performing tools from benchmarking studies.

    • Lukas Heumos
    • Anna C. Schaar
    • Fabian J. Theis
    Reviews
    Nature Reviews Genetics
    Volume: 24, P: 550-572