flowClean: Automated identification and removal of fluorescence anomalies in flow cytometry data-Reference-Cited by-同舟云学术

flowClean: Automated identification and removal of fluorescence anomalies in flow cytometry data

Author:

Fletez-Brant Kipper¹²,Špidlen Josef³,Brinkman Ryan R.³,Roederer Mario²,Chattopadhyay Pratip K.²

Affiliation:

1. McKusick-Nathans Institute of Genetic Medicine and Department of Biostatistics; Johns Hopkins University; Baltimore Maryland

2. Vaccine Research Center, National Institutes of Allergy and Infectious Disease, National Institutes of Health; Baltimore Maryland

3. Terry Fox Laboratory, British Columbia Cancer Agency; Vancouver Canada

Funder

Scholars Program, International Society for the Advancement of Cytometry (to JS, PC)

NIH

NSERC (to JS, RRB)

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

Reference13 articles.

4. flowQ: Quality control for flow cytometry;Gentleman;R package version

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