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Causal inference in biology networks with integrated belief propagation
Rui Chang
, Jonathan R. Karr
,
Eric C. Schadt
Friedman Brain Institute
Genetics and Genomic Sciences
Graduate School of Biomedical Sciences
Icahn School of Medicine at Mount Sinai
Ronald M. Loeb Center for Alzheimer’s Disease
Research output
:
Contribution to journal
›
Conference article
›
peer-review
16
Scopus citations
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Keyphrases
Causal Relationship
100%
Causal Inference
100%
Belief Propagation
100%
Feedback Loop
50%
Microarray
25%
Gene Network
25%
High-order
25%
Functional Interaction
25%
Metabolic Network
25%
RNA-sequencing Data
25%
Living Systems
25%
Equivalence Class
25%
Distance Measure
25%
Molecular Traits
25%
Graph Structure
25%
Markov
25%
Molecular Ordering
25%
Causal Structure
25%
Causal Inference Analysis
25%
Graphical Models
25%
Conditional Dependence
25%
Response Distribution
25%
Statistical Causal Inference
25%
Steady-state Data
25%
Bayesian Belief Propagation
25%
Mathematics
Causal Relationship
100%
Causal Inference
100%
Feedback Loop
50%
Bayesian
25%
Conditionals
25%
Observed Data
25%
Inference Method
25%
Living System
25%
Graphical Model
25%
Causal Structure
25%
Markov Equivalent
25%
Equivalence Class
25%
Computer Science
Causal Relationship
100%
Belief Propagation
100%
Feedback Loop
50%
Equivalence Class
25%
Graphical Model
25%
Conventional Method
25%
Inference Method
25%
Distance Measure
25%
Response Distribution
25%
Biochemistry, Genetics and Molecular Biology
Steady State
100%
RNA Sequence
100%
Gene Network
100%
Metabolic Network
100%