Name
Abstract | ||
|---|---|---|
Motivation: Finding one or more cell populations of interest, such as those correlating to a specific disease, is critical when analysing flow cytometry data. However, labelling of cell populations is not well defined, making it difficult to integrate the output of algorithms to external knowledge sources. Results: We developed flowCL, a software package that performs semantic labelling of cell populations based on their surface markers and applied it to labelling of the Federation of Clinical Immunology Societies Human Immunology Project Consortium lyoplate populations as a use case. Conclusion: By providing automated labelling of cell populations based on their immunopheno-type, flowCL allows for unambiguous and reproducible identification of standardized cell types. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1093/bioinformatics/btu807 | BIOINFORMATICS |
Field | DocType | Volume |
Population,Data mining,Ontology,Flow cytometry,Gene ontology,Computer science,Bioconductor,Software,Labelling,Bioinformatics,Documentation | Journal | 31 |
Issue | ISSN | Citations |
8 | 1367-4803 | 2 |
PageRank | References | Authors |
0.43 | 3 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mélanie Courtot | 1 | 388 | 36.72 |
| Justin Meskas | 2 | 2 | 0.76 |
| Alexander D. Diehl | 3 | 211 | 23.32 |
| Radina Droumeva | 4 | 2 | 0.43 |
| Raphael Gottardo | 5 | 2 | 0.43 |
| Adrin Jalali | 6 | 12 | 3.04 |
| Mohammad Jafar Taghiyar | 7 | 2 | 0.76 |
| Holden T Maecker | 8 | 2 | 0.76 |
| J Philip McCoy | 9 | 3 | 0.84 |
| Alan Ruttenberg | 10 | 589 | 50.24 |
| Richard H. Scheuermann | 11 | 258 | 23.91 |
| Ryan R Brinkman | 12 | 302 | 25.48 |