Integrative analysis of multiple genomic variables using a hierarchical Bayesian model.
Schäfer, Martin
Integrative analysis of multiple genomic variables using a hierarchical Bayesian model. [electronic resource] - Bioinformatics (Oxford, England) Oct 2017 - 3220-3227 p. digital
Publication Type: Journal Article
1367-4811
10.1093/bioinformatics/btx356 doi
Algorithms
Animals
Bayes Theorem
Chromatin Immunoprecipitation
Epigenesis, Genetic
Gene Expression Profiling--methods
Gene Expression Regulation
Genomics--methods
High-Throughput Nucleotide Sequencing--methods
Humans
Mice
Models, Statistical
Sequence Analysis, DNA--methods
Sequence Analysis, RNA--methods
Software
Integrative analysis of multiple genomic variables using a hierarchical Bayesian model. [electronic resource] - Bioinformatics (Oxford, England) Oct 2017 - 3220-3227 p. digital
Publication Type: Journal Article
1367-4811
10.1093/bioinformatics/btx356 doi
Algorithms
Animals
Bayes Theorem
Chromatin Immunoprecipitation
Epigenesis, Genetic
Gene Expression Profiling--methods
Gene Expression Regulation
Genomics--methods
High-Throughput Nucleotide Sequencing--methods
Humans
Mice
Models, Statistical
Sequence Analysis, DNA--methods
Sequence Analysis, RNA--methods
Software