Prediction of graft-versus-host disease based on supervised temporal analysis on high-throughput flow cytometry data
Despite recent advancements in human immune-genetics, graft-versus-host disease (GvHD) continues to be the major and potentially fatal complication of hematopoietic stem cell transplantations affecting up to 80% of transplant patients [1]. Very little is known regarding the pathophysiologic mechanis...
Main Author: | Lee, Shang-Jung |
---|---|
Language: | English |
Published: |
University of British Columbia
2011
|
Online Access: | http://hdl.handle.net/2429/31670 |
Similar Items
-
Combining Flow and Mass Cytometry in the Search for Biomarkers in Chronic Graft-versus-Host Disease
by: Arwen Stikvoort, et al.
Published: (2017-06-01) -
High-Throughput Analysis of Clinical Flow Cytometry Data by Automated Gating
by: Hunjoong Lee, et al.
Published: (2019-04-01) -
Data reduction for spectral clustering to analyze high throughput flow cytometry data
by: Shooshtari Parisa, et al.
Published: (2010-07-01) -
Development of high-throughput flow cytometry for synaptosomes
by: Hui-Ting Chen, et al.
Published: (2015) -
Optimizing transformations for automated, high throughput analysis of flow cytometry data
by: Weng Andrew, et al.
Published: (2010-11-01)