Hugh A. Rand
Research Subjects
Research Interests
Hugh A. Rand has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
Cheng Su
Department of Biostatistics—Medical Sciences, Amgen, 1201 Amgen Court West, Seattle, WA 98119, USA
1 shared publicationGary D. Means
Department of Molecular Sciences, Amgen, 1201 Amgen Court West, Seattle, WA 98119, USA
1 shared publicationJohn J. Gosink
Department of Computational Biology, Amgen, 1201 Amgen Court West, Seattle, WA 98119, USA
1 shared publicationWilliam A. Rees
Department of Molecular Sciences, Amgen, 1201 Amgen Court West, Seattle, WA 98119, USA
1 shared publication
Latest Publications
- Open Access
- 7 October 2009
- Published by Hindawi Limited in Advances in Bioinformatics
- Vol. 2009, 1-8
Bridging the Divide between Manual Gating and Bioinformatics with the Bioconductor Package flowFlowJo
In flow cytometry, different cell types are usually selected or “gated” by a series of 1- or 2-dimensional geometric subsets of the measurements made on each cell. This is easily accomplished in commercial flow cytometry packages but it is difficult to work computationally with the results of this process. The ability to retrieve the results and work with both them and the raw data is critical; our experience points to the importance of bioinformatics tools that will allow us to examine gating robustness, combine manual and automated gating, and perform exploratory data analysis. To provide this capability, we have developed a Bioconductor package called flowFlowJo that can import gates defined by the commercial package FlowJo and work with them in a manner consistent with the other flow packages in Bioconductor. We present this package and illustrate some of the ways in which it can be used.
- 7 October 2009
- Published by Hindawi Limited in Advances in Bioinformatics
- Vol. 2009, 1-8
Open AccessBridging the Divide between Manual Gating and Bioinformatics with the Bioconductor Package flowFlowJo
In flow cytometry, different cell types are usually selected or “gated” by a series of 1- or 2-dimensional geometric subsets of the measurements made on each cell. This is easily accomplished in commercial flow cytometry packages but it is difficult to work computationally with the results of this process. The ability to retrieve the results and work with both them and the raw data is critical; our experience points to the importance of bioinformatics tools that will allow us to examine gating robustness, combine manual and automated gating, and perform exploratory data analysis. To provide this capability, we have developed a Bioconductor package called flowFlowJo that can import gates defined by the commercial package FlowJo and work with them in a manner consistent with the other flow packages in Bioconductor. We present this package and illustrate some of the ways in which it can be used.