Author Correction: Benchmarking of cell type deconvolution pipelines for transcriptomics data-Reference-Cited by-同舟云学术

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Author Correction: Benchmarking of cell type deconvolution pipelines for transcriptomics data

Published:2020-12 Issue:1 Volume:11 Page:
ISSN:2041-1723
Container-title:Nature Communications
language:en
Short-container-title:Nat Commun

Author:

Cobos Francisco Avila^ORCID,Alquicira-Hernandez José^ORCID,Powell Joseph E.,Mestdagh Pieter^ORCID,De Preter Katleen^ORCID

Abstract

A Correction to this paper has been published: https://doi.org/10.1038/s41467-020-20288-9

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

Link

http://www.nature.com/articles/s41467-020-20288-9.pdf

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2. Single-cell transcriptomics and chromatin accessibility profiling elucidate the kidney-protective mechanism of mineralocorticoid receptor antagonists;Journal of Clinical Investigation;2024-01-02

3. Estimating Cell-Type-Specific Gene Co-Expression Networks from Bulk Gene Expression Data with an Application to Alzheimer’s Disease;Journal of the American Statistical Association;2023-12-21

4. Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures;Nature Communications;2023-09-16

5. Imputation of cell-type specific expression using RNA-seq data from mixed cell populations;2023-09-13

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