E-Locus - Institutional Repository of the University of Crete - SCENERY: a web-based application for network reconstruction, visualization and statistical analysis of single-cell cata

Home SCENERY: a web-based application for network reconstruction, visualization and statistical analysis of single-cell cata

Results - Details

[Add to Basket]

Identifier

000403638

Title

SCENERY: a web-based application for network reconstruction, visualization and statistical analysis of single-cell cata

Alternative Title

SCENERY : μια διαδικτυοκεντρική εφαρμογή για την ανασυγκρότηση δικτύων, οπτικοποίηση και στατιστική ανάλυση μονοκυτταρικών δεδομένων

Author

Αθηναίου, Γιώργος Ι.

Thesis advisor

Τσαμαρδινός, Ιωάννης

Reviewer

Τόλλης, Ιωάννης
Χριστοφίδης, Βασίλειος

Abstract

Cytometry techniques allow the quantiﬁcation of the morphological characteristics and protein abundances at a single-cell level. Data collected with these techniques can be used for addressing the fascinating, yet challenging problem of reconstructing the network of protein interactions, forming signaling pathways and governing cell biological mechanisms. Network reconstruction is an established and well studied problem in the machine learning and data mining ﬁelds, with several algorithms already available. Moreover, standard statistical analysis on such data is widely used, mainly for modeling the relationship among proteins and comparing different cell populations. In this thesis, we present the ﬁrst, freely available, web-oriented application, SCENERY from"Single CEll NEtwork Reconstruction sYstem", that allows scientists to rapidly apply state-of-the-art network-reconstruction methods along with standard pre-processing and statistical analysis functions on cytometry data, through advanced visualization functions. SCENERY comes with an easy-to-use, step-wised user interface,along with an open modular architecture for ease of its extension. The functionalities of the application are illustrated and validated on data from a publicly available immunology experiment.

Language

English

Subject

Cytometry

Data analysis

Signal pathways

Ανάλυση δεδομένων

Κυτταρομετρία

Μονοπάτια σηματοδότησης

Issue date

2016-11-18

Collection