BEARscc determines robustness of single-cell clusters using simulated technical replicates
D. T. Severson; R. P. Owen; M. J. White; X. Lu; B. Schuster-Böckler
Nature Publishing Group (NPG)
Published 2018
Nature Publishing Group (NPG)
Published 2018
Publication Date: |
2018-03-23
|
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Publisher: |
Nature Publishing Group (NPG)
|
Electronic ISSN: |
2041-1723
|
Topics: |
Biology
Chemistry and Pharmacology
Natural Sciences in General
Physics
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Published by: |
_version_ | 1836398860400852992 |
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autor | D. T. Severson; R. P. Owen; M. J. White; X. Lu; B. Schuster-Böckler |
beschreibung | BEARscc determines robustness of single-cell clusters using simulated technical replicates BEARscc determines robustness of single-cell clusters using simulated technical replicates, Published online: 22 March 2018; doi:10.1038/s41467-018-03608-y Single cell messenger RNAseq allows the study of heterogeneity in tissue samples. Here the authors present BEARscc, a tool that uses RNA spike-in controls to simulate experiment-specific technical replicates to estimate the robustness of computational predictions of subpopulations of cells. |
citation_standardnr | 6215630 |
datenlieferant | ipn_articles |
feed_id | 134647 |
feed_publisher | Nature Publishing Group (NPG) |
feed_publisher_url | http://www.nature.com/ |
insertion_date | 2018-03-23 |
journaleissn | 2041-1723 |
publikationsjahr_anzeige | 2018 |
publikationsjahr_facette | 2018 |
publikationsjahr_intervall | 7984:2015-2019 |
publikationsjahr_sort | 2018 |
publisher | Nature Publishing Group (NPG) |
quelle | Nature Communications |
relation | http://feeds.nature.com/~r/ncomms/rss/current/~3/RPON5WPLymc/s41467-018-03608-y |
search_space | articles |
shingle_author_1 | D. T. Severson; R. P. Owen; M. J. White; X. Lu; B. Schuster-Böckler |
shingle_author_2 | D. T. Severson; R. P. Owen; M. J. White; X. Lu; B. Schuster-Böckler |
shingle_author_3 | D. T. Severson; R. P. Owen; M. J. White; X. Lu; B. Schuster-Böckler |
shingle_author_4 | D. T. Severson; R. P. Owen; M. J. White; X. Lu; B. Schuster-Böckler |
shingle_catch_all_1 | BEARscc determines robustness of single-cell clusters using simulated technical replicates BEARscc determines robustness of single-cell clusters using simulated technical replicates BEARscc determines robustness of single-cell clusters using simulated technical replicates, Published online: 22 March 2018; doi:10.1038/s41467-018-03608-y Single cell messenger RNAseq allows the study of heterogeneity in tissue samples. Here the authors present BEARscc, a tool that uses RNA spike-in controls to simulate experiment-specific technical replicates to estimate the robustness of computational predictions of subpopulations of cells. D. T. Severson; R. P. Owen; M. J. White; X. Lu; B. Schuster-Böckler Nature Publishing Group (NPG) 2041-1723 20411723 |
shingle_catch_all_2 | BEARscc determines robustness of single-cell clusters using simulated technical replicates BEARscc determines robustness of single-cell clusters using simulated technical replicates BEARscc determines robustness of single-cell clusters using simulated technical replicates, Published online: 22 March 2018; doi:10.1038/s41467-018-03608-y Single cell messenger RNAseq allows the study of heterogeneity in tissue samples. Here the authors present BEARscc, a tool that uses RNA spike-in controls to simulate experiment-specific technical replicates to estimate the robustness of computational predictions of subpopulations of cells. D. T. Severson; R. P. Owen; M. J. White; X. Lu; B. Schuster-Böckler Nature Publishing Group (NPG) 2041-1723 20411723 |
shingle_catch_all_3 | BEARscc determines robustness of single-cell clusters using simulated technical replicates BEARscc determines robustness of single-cell clusters using simulated technical replicates BEARscc determines robustness of single-cell clusters using simulated technical replicates, Published online: 22 March 2018; doi:10.1038/s41467-018-03608-y Single cell messenger RNAseq allows the study of heterogeneity in tissue samples. Here the authors present BEARscc, a tool that uses RNA spike-in controls to simulate experiment-specific technical replicates to estimate the robustness of computational predictions of subpopulations of cells. D. T. Severson; R. P. Owen; M. J. White; X. Lu; B. Schuster-Böckler Nature Publishing Group (NPG) 2041-1723 20411723 |
shingle_catch_all_4 | BEARscc determines robustness of single-cell clusters using simulated technical replicates BEARscc determines robustness of single-cell clusters using simulated technical replicates BEARscc determines robustness of single-cell clusters using simulated technical replicates, Published online: 22 March 2018; doi:10.1038/s41467-018-03608-y Single cell messenger RNAseq allows the study of heterogeneity in tissue samples. Here the authors present BEARscc, a tool that uses RNA spike-in controls to simulate experiment-specific technical replicates to estimate the robustness of computational predictions of subpopulations of cells. D. T. Severson; R. P. Owen; M. J. White; X. Lu; B. Schuster-Böckler Nature Publishing Group (NPG) 2041-1723 20411723 |
shingle_title_1 | BEARscc determines robustness of single-cell clusters using simulated technical replicates |
shingle_title_2 | BEARscc determines robustness of single-cell clusters using simulated technical replicates |
shingle_title_3 | BEARscc determines robustness of single-cell clusters using simulated technical replicates |
shingle_title_4 | BEARscc determines robustness of single-cell clusters using simulated technical replicates |
timestamp | 2025-06-30T23:33:47.716Z |
titel | BEARscc determines robustness of single-cell clusters using simulated technical replicates |
titel_suche | BEARscc determines robustness of single-cell clusters using simulated technical replicates |
topic | W V TA-TD U |
uid | ipn_articles_6215630 |