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Author Correction: Gene-expression memory-based prediction of cell lineages from scRNA-seq datasets

A. S. Eisele
M. Tarbier
D. M. Suter
Amendments and CorrectionsOpen Access04 Jun 2024
Nature Communications

Volume: 15, P: 1
Gene-expression memory-based prediction of cell lineages from scRNA-seq datasets

Combining experimental lineage tracing with single cell transcriptomics is technically demanding. Here, authors present GEMLI, a computational tool to annotate cell lineages in single cell RNA sequencing data solely based on gene expression.

A. S. Eisele
M. Tarbier
D. M. Suter
ResearchOpen Access29 Mar 2024
Nature Communications

Volume: 15, P: 1-16
Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis

Using single-cell data from cell lines, the co-expression of genes and co-activity of regulatory elements is analyzed, providing insight into shared architecture and regulation between genes.

Diogo M. Ribeiro
Chaymae Ziyani
Olivier Delaneau
ResearchOpen Access26 Aug 2022
Communications Biology

Volume: 5, P: 1-11

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Author Correction: Gene-expression memory-based prediction of cell lineages from scRNA-seq datasets

Gene-expression memory-based prediction of cell lineages from scRNA-seq datasets

Shared regulation and functional relevance of local gene co-expression revealed by single cell analysis

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