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Human Cell AtlasNature
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86% Informative
The Human Cell Atlas (HCA) consortium was founded in 2016 with the aim to build a biological atlas of every cell in the human body.
Since the release of its white paper in 2017 , the consortium has grown into a global network of more than 3,600 members in 102 countries, contributing data to 18 Biological Networks .
The HCA has now entered a phase of data integration towards the assembly of the first draft atlas.
scTab, a deep-learning model, has been developed for cross-tissue cell type annotations.
PopV compares predictions from eight integrated cell type annotation methods on an unannotated dataset.
SCimilarity, a metric learning-based foundation model, takes a different approach by asking where other cells with a similar profile can be found.
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