Exploring the information transmission properties of noise-induced dynamics: application to glioma differentiation
Abstract Background Cells operate in an uncertain environment, where critical cell decisions must be enacted in the presence of biochemical noise. Information theory can measure the extent to which such noise perturbs normal cellular function, in which cells must perceive environmental cues and rela...
Main Authors: | Aditya Sai, Nan Kong |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2019-07-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-2970-7 |
Similar Items
-
Monte Carlo Simulation of Stochastic Differential Equation to Study Information Geometry
by: Abhiram Anand Thiruthummal, et al.
Published: (2022-08-01) -
Information Theoretical Study of Cross-Talk Mediated Signal Transduction in MAPK Pathways
by: Alok Kumar Maity, et al.
Published: (2017-09-01) -
Convexity of the Capacity of One-Bit Quantized Additive White Gaussian Noise Channels
by: Sungmin Lee, et al.
Published: (2022-11-01) -
Reconstructing complex system dynamics from time series: a method comparison
by: Forough Hassanibesheli, et al.
Published: (2020-01-01) -
Solving Random Equations Related to Electric Current and Radiation of Radioactive Materials with Effect of White Noise Perturbation
by: A. Khalili Golmankhaneh, et al.
Published: (2021-06-01)