Perspective: Sloppiness and emergent theories in physics, biology, and beyond
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Perspective: Sloppiness and emergent theories in physics, biology, and beyond
Authors
Keywords
-
Journal
JOURNAL OF CHEMICAL PHYSICS
Volume 143, Issue 1, Pages 010901
Publisher
AIP Publishing
Online
2015-07-02
DOI
10.1063/1.4923066
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Efficient Inference of Parsimonious Phenomenological Models of Cellular Dynamics Using S-Systems and Alternating Regression
- (2015) Bryan C. Daniels et al. PLoS One
- Model Reduction by Manifold Boundaries
- (2014) Mark K. Transtrum et al. PHYSICAL REVIEW LETTERS
- There is More Than One Way to Model an Elephant. Experiment-Driven Modeling of the Actin Cytoskeleton
- (2013) Jonathon A. Ditlev et al. BIOPHYSICAL JOURNAL
- The evolutionary origins of modularity
- (2013) J. Clune et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Parameter Space Compression Underlies Emergent Theories and Predictive Models
- (2013) B. B. Machta et al. SCIENCE
- Optimal experiment selection for parameter estimation in biological differential equation models
- (2012) Mark K Transtrum et al. BMC BIOINFORMATICS
- Riemann manifold Langevin and Hamiltonian Monte Carlo methods
- (2011) Mark Girolami et al. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
- Comment on “Sloppy models, parameter uncertainty, and the role of experimental design”
- (2011) Ricky Chachra et al. Molecular BioSystems
- Practical limits for reverse engineering of dynamical systems: a statistical analysis of sensitivity and parameter inferability in systems biology models
- (2011) Kamil Erguler et al. Molecular BioSystems
- Archetypal analysis for machine learning and data mining
- (2011) Morten Mørup et al. NEUROCOMPUTING
- Geometry of nonlinear least squares with applications to sloppy models and optimization
- (2011) Mark K. Transtrum et al. PHYSICAL REVIEW E
- Sloppy models, parameter uncertainty, and the role of experimental design
- (2010) Joshua F. Apgar et al. Molecular BioSystems
- Why are Nonlinear Fits to Data so Challenging?
- (2010) Mark K. Transtrum et al. PHYSICAL REVIEW LETTERS
- Identification of neutral biochemical network models from time series data
- (2009) Marco Vilela et al. BMC Systems Biology
- Matrix Factorization Techniques for Recommender Systems
- (2009) Yehuda Koren et al. COMPUTER
- A multi-time-scale analysis of chemical reaction networks: I. Deterministic systems
- (2009) Chang Hyeong Lee et al. JOURNAL OF MATHEMATICAL BIOLOGY
- Sloppiness, robustness, and evolvability in systems biology
- (2008) Bryan C Daniels et al. CURRENT OPINION IN BIOTECHNOLOGY
- What is principal component analysis?
- (2008) Markus Ringnér NATURE BIOTECHNOLOGY
- Model reduction of interconnected linear systems
- (2008) H. Sandberg et al. OPTIMAL CONTROL APPLICATIONS & METHODS
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started