A Statistical Approach Reveals Designs for the Most Robust Stochastic Gene Oscillators

doi 10.1021/acssynbio.5b00179.s001
Full Text
Abstract

Available in full text

Date

Unknown

Authors

Unknown

Publisher

American Chemical Society (ACS)

Related search

Stochastic Spatial Models in Ecology: A Statistical Physics Approach

Journal of Statistical Physics
Nonlinear PhysicsMathematical PhysicsStatistical
2017English

Robust Fitting of Multiple Structures: The Statistical Learning Approach

2009English

Robust Topology Optimization Using a Non-Intrusive Stochastic Spectral Approach

English

A Fuzzy Approach to Robust Control of Stochastic Nonaffine Nonlinear Systems

Mathematical Problems in Engineering
MathematicsEngineering
2012English

Biomarker Identification From RNA-Seq Data Using a Robust Statistical Approach

Bioinformation
2018English

A Compositional Approach to the Stochastic Dynamics of Gene Networks

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2006English

Scalable Algorithms for Adaptive Statistical Designs

2000English

Stochastic Phase Reduction for a General Class of Noisy Limit Cycle Oscillators

Physical Review Letters
AstronomyPhysics
2009English

Statistical Reliability Analysis for a Most Dangerous Occupation: Roman Emperor

Palgrave Communications
ArtsFinanceHumanitiesEconomicsEconometricsSocial SciencesPsychology
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy