Sanjay: Automatically Synthesizing Visualizations Of Flow Cytometry Data Using Decision Procedures

Keywords

automated synthesis; decision procedures; flow cytometry; visualization

Abstract

Polychromatic flow cytometry is a widely used technique for gathering and analyzing cellular data. The data generated is high-dimensional, and therefore notoriously difficult to visualize by a human expert. The traditional method of plotting every pair of observables of the original high-dimensional data leads to a combinatorial explosion in the number of visualizations. The usual solution is to project the data into a lower-dimensional space while approximately preserving key properties and relationships among data points. The lower dimensional data can then be easily analyzed with the help of specialized data visualization software.

Publication Date

12-2-2015

Publication Title

2015 IEEE 5th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2015

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICCABS.2015.7344720

Socpus ID

84960891908 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84960891908

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