Name
Title | ||
|---|---|---|
flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1093/bioinformatics/btu677 | BIOINFORMATICS |
Field | DocType | Volume |
Population,Data mining,Gating,Source code,Computer science,Bioconductor,Software,Bioinformatics,Density distribution | Journal | 31 |
Issue | ISSN | Citations |
4 | 1367-4803 | 0 |
PageRank | References | Authors |
0.34 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mehrnoush Malek | 1 | 0 | 0.34 |
| Mohammad Jafar Taghiyar | 2 | 2 | 0.76 |
| Lauren Chong | 3 | 0 | 0.34 |
| Greg Finak | 4 | 55 | 6.63 |
| Raphael Gottardo | 5 | 18 | 2.16 |
| Ryan R Brinkman | 6 | 302 | 25.48 |