Time varying causal network reconstruction of a mouse cell cycle

Time varying causal network reconstruction of a mouse cell cycle

Abstract Background Biochemical networks are often described through static or time-averaged measurements of the component macromolecules. Temporal variation in these components plays an important role in both describing the dynamical nature of the network as well as providing insights into causal m...

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Bibliographic Details
Main Authors: Maryam Masnadi-Shirazi, Mano R. Maurya, Gerald Pao, Eugene Ke, Inder M. Verma, Shankar Subramaniam
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Bioinformatics
Subjects:
Dynamics
Cell cycle
Time series
Change point detection
Time varying network reconstruction
Causal inference
Online Access:http://link.springer.com/article/10.1186/s12859-019-2895-1

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http://link.springer.com/article/10.1186/s12859-019-2895-1

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