Skip to main navigation
Skip to search
Skip to main content
Princeton University Home
Help & FAQ
Home
Profiles
Research units
Facilities
Projects
Research output
Press/Media
Search by expertise, name or affiliation
Maximum entropy models for patterns of gene expression
Camilla Sarra
, Leopoldo Sarra
, Luca Di Carlo
, Trevor Grandpre
, Yaojun Zhang
, Curtis G. Callan
,
William Bialek
Physics
Lewis-Sigler Institute for Integrative Genomics
Princeton Neuroscience Institute
Research output
:
Contribution to journal
›
Article
›
peer-review
1
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Maximum entropy models for patterns of gene expression'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Energy Minimum
100%
Probability Distribution
100%
Gene Expression
100%
Mammalian Brain
100%
Ising Model
100%
Individual Cells
100%
Local Maxima
100%
Expression Level
100%
Expression Pattern
100%
Dividing Cells
100%
Pair Correlation
100%
Maximum Entropy Model
100%
Cell State
100%
Emergent Behavior
100%
Higher-order Statistics
100%
Mean Correlation
100%
Probabilistic Description
100%
Maximum Entropy Principle
100%
Low-dimensional Projection
100%
Computer Science
Expression Level
100%
Individual Cell
100%
Maximum Entropy Model
100%
Maximum Entropy
100%
Emergent Behavior
100%
Pattern Expression
100%
Higher-Order Statistics
100%
Mammalian Brain
100%
Mathematics
Maximum Entropy
100%
Good Agreement
50%
Probability Distribution
50%
Individual Cell
50%
Cell State
50%
Order Statistics
50%
Ising Model
50%
Biochemistry, Genetics and Molecular Biology
Gene Expression
100%
Probability Distribution
100%