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Titel:

CorDiffViz: an R package for visualizing multi-omics differential correlation networks

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Yu, Shiqing; Drton, Mathias; Promislow, Daniel E. L.; Shojaie, Ali
Abstract:
Background: Differential correlation networks are increasingly used to delineate changes in interactions among biomolecules. They characterize differences between omics networks under two different conditions, and can be used to delineate mechanisms of disease initiation and progression. Results: We present a new R package, CorDiffViz, that facilitates the estimation and visualization of differential correlation networks using multiple correlation meas-ures and inference methods. The softwar...     »
Stichworte:
Correlation networks, Data integration, Differential correlations, Omics, Undirected graphs, Visualization
Dewey Dezimalklassifikation:
510 Mathematik
Zeitschriftentitel:
BMC Bioinformatics
Jahr:
2021
Band / Volume:
22
Jahr / Monat:
2021-10
Quartal:
3. Quartal
Monat:
Oct
Heft / Issue:
1
Seitenangaben Beitrag:
1-12
Sprache:
en
Volltext / DOI:
doi:10.1186/s12859-021-04383-2
WWW:
BMC Bioinformatics
Verlag / Institution:
Springer Science and Business Media LLC
E-ISSN:
1471-2105
Status:
Verlagsversion / published
Publikationsdatum:
09.10.2021
Semester:
WS 21-22
TUM Einrichtung:
Lehrstuhl für Mathematische Statistik
Format:
Text
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