A non-negative multilinear block tensor decomposition approach to flow cytometry data analysis | IEEE Conference Publication | IEEE Xplore

A non-negative multilinear block tensor decomposition approach to flow cytometry data analysis


Abstract:

The paper presents a novel approach to the processing of flow cytometry data sequences. It consists in decomposing a sequence of multidimensional probability density func...Show More

Abstract:

The paper presents a novel approach to the processing of flow cytometry data sequences. It consists in decomposing a sequence of multidimensional probability density functions by using multilinear block tensor decomposition approach [1]. The identifiability of the model is also addressed as well as the data processing. To illustrate the effectiveness of the approach, a study of the T47D cell line mitochondrial membrane potential as a function of the CCCP1 decoupling agent concentration is performed. The cell sorting capacity of the method is significantly improved as compared to classical clustering methods.
Date of Conference: 21-24 September 2014
Date Added to IEEE Xplore: 20 November 2014
Electronic ISBN:978-1-4799-3694-6

ISSN Information:

Conference Location: Reims, France

References

References is not available for this document.