SCENERY: a web application for (causal) network reconstruction from cytometry data.

ABSTRACT: Flow and mass cytometry technologies can probe proteins as biological markers in thousands of individual cells simultaneously, providing unprecedented opportunities for reconstructing networks of protein interactions through machine learning algorithms. The network reconstruction (NR) problem has been well-studied by the machine learning community. However, the potentials of available methods remain largely unknown to the cytometry community, mainly due to their intrinsic complexity and the lack of comprehensive, powerful and easy-to-use NR software implementations specific for cytometry data. To bridge this gap, we present Single CEll NEtwork Reconstruction sYstem (SCENERY), a web server featuring several standard and advanced cytometry data analysis methods coupled with NR algorithms in

SUBMITTER: Papoutsoglou G 

PROVIDER: S-EPMC5570263 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature