A novel batch-effect correction method for scRNA-seq data based on Adversarial Information Factorization

Lily Monnier; Paul-Henry Cournède

doi:10.1371/journal.pcbi.1011880

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Open Access

Peer-reviewed

A novel batch-effect correction method for scRNA-seq data based on Adversarial Information Factorization

Lily Monnier,

Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Paris-Saclay University, CentraleSupélec, Laboratory of Mathematics and Computer Science (MICS), Gif-sur-Yvette, France

https://orcid.org/0009-0009-4346-8301

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Paul-Henry Cournède

Roles Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – review & editing

* E-mail: paul-henry.cournede@centralesupelec.fr

Affiliation Paris-Saclay University, CentraleSupélec, Laboratory of Mathematics and Computer Science (MICS), Gif-sur-Yvette, France

https://orcid.org/0000-0001-7679-6197

⨯

A novel batch-effect correction method for scRNA-seq data based on Adversarial Information Factorization

Lily Monnier,
Paul-Henry Cournède

Published: February 22, 2024
https://doi.org/10.1371/journal.pcbi.1011880

About the Authors

Lily Monnier

Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

Affiliation Paris-Saclay University, CentraleSupélec, Laboratory of Mathematics and Computer Science (MICS), Gif-sur-Yvette, France

https://orcid.org/0009-0009-4346-8301

Paul-Henry Cournède

Roles Conceptualization, Funding acquisition, Methodology, Project administration, Resources, Supervision, Writing – review & editing

* E-mail: paul-henry.cournede@centralesupelec.fr

Affiliation Paris-Saclay University, CentraleSupélec, Laboratory of Mathematics and Computer Science (MICS), Gif-sur-Yvette, France

https://orcid.org/0000-0001-7679-6197

Competing Interests

The authors have declared that no competing interests exist.

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RNA sequencing
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