A simple strategy for sample annotation error detection in cytometry datasets-Reference-Cited by-同舟云学术

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A simple strategy for sample annotation error detection in cytometry datasets

Published:2021-12-29 Issue: Volume: Page:
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry Pt A

Author:

Smithmyer Megan E.¹^ORCID,Wiedeman Alice E.²^ORCID,Skibinski David A. G.¹³^ORCID,Savage Adam K.⁴^ORCID,Acosta‐Vega Carolina²^ORCID,Scheiding Sheila²^ORCID,Gersuk Vivian H.⁵^ORCID,O'Rourke Colin¹,Long S. Alice²^ORCID,Buckner Jane H.²^ORCID,Speake Cate¹^ORCID

Affiliation:

1. Center for Interventional Immunology Benaroya Research Institute Seattle Washington USA

2. Center for Translational Immunology Benaroya Research Institute Seattle Washington USA

3. Nexelis, 645 Elliot Avenue West, Suite 300 Seattle Washington USA

4. Allen Institute for Immunology Seattle Washington USA

5. Center for Systems Immunology Benaroya Research Institute Seattle Washington USA

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.24525

Reference28 articles.

1. MixupMapper: correcting sample mix-ups in genome-wide datasets increases power to detect small genetic effects

2. Identification of sample annotation errors in gene expression datasets

3. Whose sample is it anyway? Widespread misannotation of samples in transcriptomics studies

4. Identifying errors in avian influenza virus gene sequences and implications for data usage of public databases

5. MODMatcher: multi‐omics data matcher for integrative genomic analysis;Yoo S;PLoS Comput Biol,2014

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