%0 Journal Article %1 Aghaeepour2011 %A Aghaeepour, Nima %A Nikolic, Radina %A Hoos, Holger H. %A Brinkman, Ryan R. %D 2011 %J Cytometry A %K R highthroughput facs %N 1 %P 6--13 %R 10.1002/cyto.a.21007 %T Rapid cell population identification in flow cytometry data. %U http://dx.doi.org/10.1002/cyto.a.21007 %V 79 %X We have developed flowMeans, a time-efficient and accurate method for automated identification of cell populations in flow cytometry (FCM) data based on K-means clustering. Unlike traditional K-means, flowMeans can identify concave cell populations by modelling a single population with multiple clusters. flowMeans uses a change point detection algorithm to determine the number of sub-populations, enabling the method to be used in high throughput FCM data analysis pipelines. Our approach compares favorably to manual analysis by human experts and current state-of-the-art automated gating algorithms. flowMeans is freely available as an open source R package through Bioconductor.

@article{Aghaeepour2011, abstract = {We have developed flowMeans, a time-efficient and accurate method for automated identification of cell populations in flow cytometry (FCM) data based on K-means clustering. Unlike traditional K-means, flowMeans can identify concave cell populations by modelling a single population with multiple clusters. flowMeans uses a change point detection algorithm to determine the number of sub-populations, enabling the method to be used in high throughput FCM data analysis pipelines. Our approach compares favorably to manual analysis by human experts and current state-of-the-art automated gating algorithms. flowMeans is freely available as an open source R package through Bioconductor.}, added-at = {2013-07-27T01:50:25.000+0200}, author = {Aghaeepour, Nima and Nikolic, Radina and Hoos, Holger H. and Brinkman, Ryan R.}, biburl = {https://www.bibsonomy.org/bibtex/2d59d4f104adc10c668ceeb3e4b7cda10/aorchid}, description = {flowMeans}, doi = {10.1002/cyto.a.21007}, file = {:R/CytometryA.79.6.pdf:PDF}, groups = {public}, institution = {Terry Fox Laboratory, BC Cancer Agency, Vancouver, British Columbia, Canada.}, interhash = {74a8096da3546c24ca3de5baf28d23cf}, intrahash = {d59d4f104adc10c668ceeb3e4b7cda10}, journal = {Cytometry A}, keywords = {R highthroughput facs}, language = {eng}, medline-pst = {ppublish}, month = Jan, number = 1, pages = {6--13}, pmid = {21182178}, timestamp = {2013-07-27T01:50:25.000+0200}, title = {Rapid cell population identification in flow cytometry data.}, url = {http://dx.doi.org/10.1002/cyto.a.21007}, username = {aorchid}, volume = 79, year = 2011 }