HIVData: HIVData
In RchyOptimyx: Optimyzed Cellular Hierarchies for Flow Cytometry
Description
Usage
Details
Author(s)
References
Description
A dataset of two sets of scores (particularly, correlation with protection against HIV and overlap with the Naive T-cell population) assigned to immunophenotypes measured by flow cytometry. 10 markers were measured: KI-67, CD28, CD45RO, CD8, CD4, CD57, CCR5, CD27, CCR7, and CD127.
Usage
1
Details
This dataset consists of 2 numeric
(LogRankPvals and OverlapScores) and 2 character (Pheno.Codes and marker.names).
Pheno.Codes vector is described in the RchyOptimyx function's manual.
LogRankPvals is a vector of log-rank test P-values to
determine the correlation between HIV's progression and each of the
measured immunophenotypes in 466 HIV positive patients (lower values
represent a stronger correlation). For more details see the Aghaeepour
et.al. manuscript below.
Ganesan et. al. define Naive T-cells as CD28+CD45RO-CD57-CCR5-CD27+
CCR7+ within the CD3+CD14- compartment. The OverlapScores
vector has the proportion of Naive T-cells (as defined above) to the
total number of cells in any given immunophenotype (a higher value
represents a larger overlap).
marker.names is the name of all markers involved in the analysis.
Author(s)
Nima Aghaeepour <naghaeep@gmail.com> and Adrin Jalali <ajalali@bccrc.ca>
References
Nima Aghaeepour, Pratip K. Chattopadhyay , Anuradha Ganesan, Kieran O'Neill, Habil Zare, Adrin Jalali, Holger H. Hoos, Mario Roederer, and Ryan R. Brinkman. Early Immunologic Correlates of HIV Protection can be Identified from Computational Analysis of Complex Multivariate T-cell Flow Cytometry Assays. Bioinformatics, 2012.
Anuradha Ganesan, Pratip K Chattopadhyay, Tess M. Brodie, Jing Qin, Wenjuan Gu, John R. Mascola, Nelson L. Michael, Dean A. Follmann, and Mario Roederer. Immunologic and virologic events in early HIV infection predict subsequent rate of progression. Journal of Infectious Diseases, 2010.
RchyOptimyx documentation built on Nov. 8, 2020, 5:27 p.m.
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Description Usage Details Author(s) References
Description
A dataset of two sets of scores (particularly, correlation with protection against HIV and overlap with the Naive T-cell population) assigned to immunophenotypes measured by flow cytometry. 10 markers were measured: KI-67, CD28, CD45RO, CD8, CD4, CD57, CCR5, CD27, CCR7, and CD127.
Usage
1 |
Details
This dataset consists of 2 numeric
(LogRankPvals and OverlapScores) and 2 character (Pheno.Codes and marker.names).
Pheno.Codes vector is described in the RchyOptimyx function's manual.
LogRankPvals is a vector of log-rank test P-values to
determine the correlation between HIV's progression and each of the
measured immunophenotypes in 466 HIV positive patients (lower values
represent a stronger correlation). For more details see the Aghaeepour
et.al. manuscript below.
Ganesan et. al. define Naive T-cells as CD28+CD45RO-CD57-CCR5-CD27+
CCR7+ within the CD3+CD14- compartment. The OverlapScores
vector has the proportion of Naive T-cells (as defined above) to the
total number of cells in any given immunophenotype (a higher value
represents a larger overlap).
marker.names is the name of all markers involved in the analysis.
Author(s)
Nima Aghaeepour <naghaeep@gmail.com> and Adrin Jalali <ajalali@bccrc.ca>
References
Nima Aghaeepour, Pratip K. Chattopadhyay , Anuradha Ganesan, Kieran O'Neill, Habil Zare, Adrin Jalali, Holger H. Hoos, Mario Roederer, and Ryan R. Brinkman. Early Immunologic Correlates of HIV Protection can be Identified from Computational Analysis of Complex Multivariate T-cell Flow Cytometry Assays. Bioinformatics, 2012.
Anuradha Ganesan, Pratip K Chattopadhyay, Tess M. Brodie, Jing Qin, Wenjuan Gu, John R. Mascola, Nelson L. Michael, Dean A. Follmann, and Mario Roederer. Immunologic and virologic events in early HIV infection predict subsequent rate of progression. Journal of Infectious Diseases, 2010.
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