Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
Dynamic Models of Biological Pattern Formation Have Surprising Implications for Understanding the Epigenetics of Development
Peter C.M. Molenaar
Human Development and Family Studies
Institute for Computational and Data Sciences (ICDS)
Research output
:
Contribution to journal
›
Article
›
peer-review
37
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Dynamic Models of Biological Pattern Formation Have Surprising Implications for Understanding the Epigenetics of Development'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Dynamic Model
100%
Quantitative Genetics
100%
Epigenetics
100%
Subject-specific
66%
Mathematical Model
33%
Adaptation
33%
Inter-individual Variation
33%
Heritability
33%
Statistical Techniques
33%
Heterogeneous Population
33%
Intra-individual Variation
33%
Genetic Method
33%
Epigenetic Mechanisms
33%
Developmental Context
33%
Self-model
33%
Homogeneous Population
33%
Statistical Analysis Method
33%
Biochemistry, Genetics and Molecular Biology
Epigenomics
100%
Quantitative Genetics
100%
Epigenetics
100%
Epigenetics
33%
Genetic Procedures
33%
Immunology and Microbiology
Genetic Procedures
100%
Heritability
100%
Epigenetics
100%
Engineering
Dynamic Models
100%
Diffusive
100%