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İstatistik

21 metoder i denne familie.

Udvalgte

Bayesiansk 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 enriBayesiansk analyse af kopitalvariationBayesian 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 plBayesiansk epigenom-bred associationsanalyse (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 suppBayesiansk epigenom-wide associationsstudie i uddannelsesforskningA Bayesian epigenome-wide association study (Bayesian EWAS) scans hundreds of thousands of DNA methylation sites across the genome to identify those statistically associated with aBayesiansk eQTL-analyseBayesian eQTL analysis identifies genetic variants (eQTLs) that regulate gene expression by combining genotype and RNA-seq data within a probabilistic framework. Unlike frequentistBayesiansk gen-sæt-berigelsesanalyse (Bayesian GSEA)Bayesian gene set enrichment analysis (Bayesian GSEA) applies a probabilistic framework to determine whether predefined sets of genes — representing biological pathways, cellular p

Læsesti

Dette emnes mest refererede grundlæggende metoder, i den rækkefølge de blev udviklet — et godt sted at begynde, hvis du er ny her.

  1. Bayesiansk Fylogenetisk Analyse1996–2001af Rannala & Yang (1996); operationalized by Huelsenbeck et al. (MrBayes, 2001)
  2. Bayesiansk eQTL-analyse2000s–2010saf Matthew Stephens, David J. Balding (Bayesian framework for genetic association); extended by multiple groups for eQTL context
  3. Bayesiansk gen-sæt-berigelsesanalyse (Bayesian GSEA)2004–2007af Michael A. Newton, Frank A. Quintana and colleagues; building on Subramanian et al. GSEA framework
  4. Bayesiansk metabolomanalyse2005–2010af Simon Rogers, Mark Girolami and colleagues (Bayesian NMR metabolomics framework, ~2009); broader Bayesian metabolomics developed through 2000s–2010s
  5. Bayesiansk GWAS2007–2009 (formal statistical framework)af Matthew Stephens, David J. Balding, Jon Wakefield (key formalizers ca. 2007–2009)
  6. Bayesiansk RNA-seq Differential Expression2010–2013af Kendziorski et al. (EBSeq); Hardcastle & Kelly (baySeq)
  7. Bayesiansk variantkald2010 (GATK framework); Bayesian genotyping principles preceded by Samtools/MAQ ~2008–2009af Mark DePristo, Eric Banks, and the Broad Institute GATK team
  8. Stable Isotope Analysis in R (SIAR) mixing model2010af Andrew Parnell
alle metoder på denne hylde ↓

Alle metoder 21

Bayesiansk ChIP-seq Peak CallingBayesiansk analyse af kopitalvariationBayesiansk epigenom-bred associationsanalyse (Bayesian EWAS)Bayesiansk epigenom-wide associationsstudie i uddannelsesforskningBayesiansk eQTL-analyseBayesiansk gen-sæt-berigelsesanalyse (Bayesian GSEA)Bayesiansk GWAS i uddannelsesforskningBayesiansk GWASBayesiansk metabolomanalyseBayesiansk Mikrobiel DiversitetsanalyseBayesiansk Pathway BerigelsesanalyseBayesiansk Fylogenetisk AnalyseBayesiansk proteomikanalyseBayesiansk RNA-seq Differential ExpressionBayesian Sequence AlignmentBayesiansk analyse af enkeltcelle RNA-seqBayesiansk variantkaldFrysetørring (lyofilisering)Life Table Response ExperimentNetværksbaseret gen-sæt-berigelsesanalyseStable Isotope Analysis in R (SIAR) mixing model

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