Keyphrases
In Cancer
100%
Cancer Drivers
100%
Driver Detection
100%
Robust Statistical Method
100%
Significance Evaluation
100%
Graphical Models
66%
Differential Expression
66%
Somatic mutation Rate
66%
Cancer Genome
66%
Genomic Elements
66%
Overdispersion
66%
Factor Graph
66%
Saddlepoint Approximation
66%
Empirical Bayes
66%
Multivariable
33%
Hierarchical Structure
33%
Cancer Development
33%
Cancer Progression
33%
Multiple Genes
33%
Statistical Methods
33%
Statistical Significance
33%
Publicly Available
33%
Predictive Models
33%
Differentially Expressed
33%
Phylogenetic Tree
33%
Detection Method
33%
Expression Data
33%
Model Selection
33%
Markov Model
33%
Genomic Data
33%
Driver mutations
33%
Gene number
33%
Classification Performance
33%
Heterogeneous Data Sources
33%
DNA Methylation Data
33%
Multiple Models
33%
Bayesian Network Model
33%
First Use
33%
Poisson-binomial Distribution
33%
Methylation Data
33%
Motif Models
33%
Somatic mutation Burden
33%
Final Manuscript
33%
Multiple Testing Problem
33%
Importance Sampling
33%
Passenger mutation
33%
Second Use
33%
Binomial Model
33%
Multi-source Heterogeneous Data
33%
Model Tree
33%
High-order Markov Chain
33%
Mathematics
Graphical Model
100%
Empirical Bayes Procedure
100%
Statistical Method
100%
Saddle Point Approximation
100%
Differential Expression
100%
Overdispersion
100%
factor graph
100%
Model Selection
50%
Predictive Model
50%
Sampling Scheme
50%
Binomial Model
50%
Multiple Model
50%
Importance Sampling
50%
Testing Problem
50%
Multiple Testing
50%
Bayesian Network
50%
Statistical Significance
50%
Data Source
50%
Detection Method
50%
Markov Chain
50%
Biochemistry, Genetics and Molecular Biology
Somatic Mutation
100%
Mutation Rate
66%
Methylation
33%
DNA Methylation
33%
Phylogenetic Tree
33%
Differentially Expressed Gene
33%