rituximab: The Rituximab Dataset
In flowClust: Clustering for Flow Cytometry
Description
A flow cytometry dataset produced in a drug-screening project to identify
agents that would enhance the anti-lymphoma activity of Rituximab, a
therapeutic monoclonal antibody. Cells were stained with anti-BrdU FITC and
the DNA binding dye 7-AAD.
Format
An object of class flowFrame with 1545 cells (rows) and the
following eight variables (columns):
- FSC.H
FSC-Height
- SSC.H
Side Scatter
- FL1.H
Anti-BrdU FITC
- FL2.H
Channel
not used
- FL3.H
7 AAD
- FL1.A
Channel not used
- FL1.W
Channel not used
- Time
Time
Source
Gasparetto, M., Gentry, T., Sebti, S., O'Bryan, E., Nimmanapalli,
R., Blaskovich, M. A., Bhalla, K., Rizzieri, D., Haaland, P., Dunne, J. and
Smith, C. (2004) Identification of compounds that enhance the anti-lymphoma
activity of rituximab using flow cytometric high-content screening. J.
Immunol. Methods 292, 59-71.
flowClust documentation built on Nov. 8, 2020, 7:34 p.m.
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Description
A flow cytometry dataset produced in a drug-screening project to identify agents that would enhance the anti-lymphoma activity of Rituximab, a therapeutic monoclonal antibody. Cells were stained with anti-BrdU FITC and the DNA binding dye 7-AAD.
Format
An object of class flowFrame with 1545 cells (rows) and the
following eight variables (columns):
- FSC.H
FSC-Height
- SSC.H
Side Scatter
- FL1.H
Anti-BrdU FITC
- FL2.H
Channel not used
- FL3.H
7 AAD
- FL1.A
Channel not used
- FL1.W
Channel not used
- Time
Time
Source
Gasparetto, M., Gentry, T., Sebti, S., O'Bryan, E., Nimmanapalli, R., Blaskovich, M. A., Bhalla, K., Rizzieri, D., Haaland, P., Dunne, J. and Smith, C. (2004) Identification of compounds that enhance the anti-lymphoma activity of rituximab using flow cytometric high-content screening. J. Immunol. Methods 292, 59-71.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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