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Fourier analysis and systems identification of the p53 feedback loop
Naama Geva-Zatorsky
, Erez Dekel
, Eric Batchelor
, Galit Lahav
, Uri Alon
Research output
:
Contribution to journal
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Article
›
peer-review
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Dive into the research topics of 'Fourier analysis and systems identification of the p53 feedback loop'. Together they form a unique fingerprint.
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Keyphrases
Feedback Loop
100%
Power Spectrum
100%
Fourier Analysis
100%
System Identification
100%
Oscillation
66%
Engineering Approach
33%
Measurement Accuracy
33%
Protein Level
33%
DNA Damage
33%
Human Cells
33%
Negative Feedback Loop
33%
Low-frequency Component
33%
Individual Cells
33%
Third Order
33%
Murine Double Minute 2 (MDM2)
33%
DNA Breaks
33%
Upstream Regulator
33%
MDM2-p53 Interaction
33%
In Vivo Interaction
33%
Characteristic Spectrum
33%
Oscillation Time
33%
P53 Dynamics
33%
Fourier Spectrum
33%
Protein Lifetime
33%
Noise Amplitude
33%
Biological Noise
33%
Engineering
Power Spectra
100%
Feedback Loop
100%
Engineering
33%
Frequency Component
33%
Protein Level
33%
Oscillation Time
33%
Noise Amplitude
33%
Individual Cell
33%
Physics
Power Spectra
100%
Fourier Analysis
100%
System Identification
100%
Negative Feedback
33%
DNA Damage
33%
Biochemistry, Genetics and Molecular Biology
P53
100%
Fourier Analysis
100%
Power Spectra
60%
Mdm2
40%
Lifespan
20%
Dynamics
20%
DNA Damage
20%
Computer Science
Feedback Loop
100%
System Identification
100%
Frequency Component
50%
Individual Cell
50%
Negative Feedback Loop
50%
Neuroscience
P53
100%
Fourier Analysis
100%
In Vivo
40%
Negative Feedback
20%
DNA Damage
20%