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CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells

CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0a6286883ea947e0a6d493c947bb4a9d

CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells

About this item

Full title

CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2025-05, Vol.16 (1), p.4679-17, Article 4679

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Single-cell sequencing provides transcriptomic profiling at single-cell resolution, uncovering cellular heterogeneity with unprecedented precision. Yet, current single cell data analysis suffers from the inherent data noises, batch effects, and sparsity, highlighting the requirement of a unified model to represent cellular states. To circumvent thi...

Alternative Titles

Full title

CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_0a6286883ea947e0a6d493c947bb4a9d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0a6286883ea947e0a6d493c947bb4a9d

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-025-59926-5

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