Journal
BIOINFORMATICS
Volume 31, Issue 4, Pages 606-607Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btu677
Keywords
-
Categories
Funding
- National Institutes of Health [R01 EB008400]
- Human Immunology Consortium [U19 AI089986]
- National Science and Engineering Research Council
Ask authors/readers for more resources
flowDensity facilitates reproducible, high-throughput analysis of flow cytometry data by automating a predefined manual gating approach. The algorithm is based on a sequential bivariate gating approach that generates a set of predefined cell populations. It chooses the best cut-off for individual markers using characteristics of the density distribution. The Supplementary Material is linked to the online version of the manuscript.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available