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Title: flowVS: channel-specific variance stabilization in flow cytometry

Comparing phenotypes of heterogeneous cell populations from multiple biological conditions is at the heart of scientific discovery based on flow cytometry (FC). When the biological signal is measured by the average expression of a biomarker, standard statistical methods require that variance be approximately stabilized in populations to be compared. Since the mean and variance of a cell population are often correlated in fluorescence-based FC measurements, a preprocessing step is needed to stabilize the within-population variances.
Authors:
 [1] ;  [2] ;  [2]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Purdue Univ., West Lafayette, IN (United States)
Publication Date:
Grant/Contract Number:
FG02-13ER26135; AC02-05CH11231
Type:
Accepted Manuscript
Journal Name:
BMC Bioinformatics
Additional Journal Information:
Journal Volume: 17; Journal Issue: 1; Journal ID: ISSN 1471-2105
Publisher:
BioMed Central
Research Org:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC)
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; Variance stabilization; Flow cytometry; Bartlett’s test; Microarrays
OSTI Identifier:
1378353

Azad, Ariful, Rajwa, Bartek, and Pothen, Alex. flowVS: channel-specific variance stabilization in flow cytometry. United States: N. p., Web. doi:10.1186/s12859-016-1083-9.
Azad, Ariful, Rajwa, Bartek, & Pothen, Alex. flowVS: channel-specific variance stabilization in flow cytometry. United States. doi:10.1186/s12859-016-1083-9.
Azad, Ariful, Rajwa, Bartek, and Pothen, Alex. 2016. "flowVS: channel-specific variance stabilization in flow cytometry". United States. doi:10.1186/s12859-016-1083-9. https://www.osti.gov/servlets/purl/1378353.
@article{osti_1378353,
title = {flowVS: channel-specific variance stabilization in flow cytometry},
author = {Azad, Ariful and Rajwa, Bartek and Pothen, Alex},
abstractNote = {Comparing phenotypes of heterogeneous cell populations from multiple biological conditions is at the heart of scientific discovery based on flow cytometry (FC). When the biological signal is measured by the average expression of a biomarker, standard statistical methods require that variance be approximately stabilized in populations to be compared. Since the mean and variance of a cell population are often correlated in fluorescence-based FC measurements, a preprocessing step is needed to stabilize the within-population variances.},
doi = {10.1186/s12859-016-1083-9},
journal = {BMC Bioinformatics},
number = 1,
volume = 17,
place = {United States},
year = {2016},
month = {7}
}