ScholarGate
Assistent

İstatistik

21 Methoden in dieser Familie.

Ausgewählt

Bayesian ChIP-seq peak callingBayesian ChIP-seq peak calling applies probabilistic models — typically Poisson, negative binomial, or hidden Markov models with Bayesian inference — to detect genomic regions enriBayesianische KopienzahlvariationsanalyseBayesian copy number variation (CNV) analysis is a probabilistic framework for detecting genomic segments where an individual's DNA copy count deviates from the diploid norm. By plBayesian Epigenome-Wide Association Study (Bayesian EWAS)A Bayesian EWAS is a genome-scale association analysis that links epigenetic marks — most commonly CpG-site DNA methylation — to a phenotype or trait of interest, replacing or suppBayesian Epigenome-Wide Association Study in Educational ResearchA Bayesian epigenome-wide association study (Bayesian EWAS) scans hundreds of thousands of DNA methylation sites across the genome to identify those statistically associated with aBayesian eQTL-AnalyseBayesian eQTL analysis identifies genetic variants (eQTLs) that regulate gene expression by combining genotype and RNA-seq data within a probabilistic framework. Unlike frequentistBayesian Gene Set Enrichment AnalysisBayesian gene set enrichment analysis (Bayesian GSEA) applies a probabilistic framework to determine whether predefined sets of genes — representing biological pathways, cellular p

Leseweg

Die meistzitierten grundlegenden Methoden dieses Themas, in der Reihenfolge ihrer Entwicklung — ein Ausgangspunkt, wenn Sie hier neu sind.

  1. Bayes'sche Phylogenetische Analyse1996–2001von Rannala & Yang (1996); operationalized by Huelsenbeck et al. (MrBayes, 2001)
  2. Bayesian eQTL-Analyse2000s–2010svon Matthew Stephens, David J. Balding (Bayesian framework for genetic association); extended by multiple groups for eQTL context
  3. Bayesian Gene Set Enrichment Analysis2004–2007von Michael A. Newton, Frank A. Quintana and colleagues; building on Subramanian et al. GSEA framework
  4. Bayesian Metabolomics Analysis2005–2010von Simon Rogers, Mark Girolami and colleagues (Bayesian NMR metabolomics framework, ~2009); broader Bayesian metabolomics developed through 2000s–2010s
  5. Bayesian GWAS2007–2009 (formal statistical framework)von Matthew Stephens, David J. Balding, Jon Wakefield (key formalizers ca. 2007–2009)
  6. Bayesian RNA-seq Differential Expression2010–2013von Kendziorski et al. (EBSeq); Hardcastle & Kelly (baySeq)
  7. Bayesian Variant Calling2010 (GATK framework); Bayesian genotyping principles preceded by Samtools/MAQ ~2008–2009von Mark DePristo, Eric Banks, and the Broad Institute GATK team
  8. SIAR-Mischungsmodell2010von Andrew Parnell
alle Methoden in diesem Regal ↓

Alle Methoden 21

Bayesian ChIP-seq peak callingBayesianische KopienzahlvariationsanalyseBayesian Epigenome-Wide Association Study (Bayesian EWAS)Bayesian Epigenome-Wide Association Study in Educational ResearchBayesian eQTL-AnalyseBayesian Gene Set Enrichment AnalysisBayesian GWAS in der BildungsforschungBayesian GWASBayesian Metabolomics AnalysisBayesian Microbiome Diversity AnalysisBayesian Pathway Enrichment AnalysisBayes'sche Phylogenetische AnalyseBayesian Proteomics AnalyseBayesian RNA-seq Differential ExpressionBayesian Sequence AlignmentBayesian Single-Cell RNA-seq AnalysisBayesian Variant CallingGefriertrocknung (Lyophilisierung)Life Table Response ExperimentNetzwerkbasierte Gen-Set-AnreicherungsanalyseSIAR-Mischungsmodell

Mehr in Lebenswissenschaften

Yapay Zekâ 112Karar Bilimleri 7Ölçme & Psikometri 122Nedensellik & Kanıt 1