Molecular connectomics: Placing cells into morphological tissue context
Here we propose "molecular connectomics" to link molecular and morphological cell features in three dimensions across scales, using machine learning and artificial intelligence to reveal emergent properties of complex biological systems.
Authors
- Sarah Amalia Teichmann (ORCID: https://orcid.org/0000-0002-6294-6366)
- Nadav Yayon (ORCID: https://orcid.org/0000-0002-7034-0524)
- Stathis Megas
- Kerstin B. Meyer (ORCID: https://orcid.org/0000-0001-5906-1498)
Institutions
- Canadian Institute for Advanced Research (CA)
- European Bioinformatics Institute (GB)
- Wellcome/MRC Cambridge Stem Cell Institute (GB)
- University of Cambridge (GB)
- Wellcome Sanger Institute (GB)
Publication Details
- Journal
- PLoS Biology
- Published
- 2024-08-26
- DOI
- https://doi.org/10.1371/journal.pbio.3002803
- Citations
- 3
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.99
Funders
- Wellcome Trust
- Chan Zuckerberg Initiative
- Medical Research Council