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Parallel Computing to Speed up Whole-Genome Bayesian Regression Analyses Using Orthogonal Data Augmentation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-62703-447-0_10openalex-snapshot

Bayesian Methods Applied to GWAS

inferredcites →https://doi.org/10.1007/b98952openalex-snapshot

Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics

inferredcites →https://doi.org/10.1086/522934openalex-snapshot

Genome Partitioning of Genetic Variation for Height from 11,214 Sibling Pairs

inferredcites →https://doi.org/10.1093/genetics/157.4.1819openalex-snapshot

Prediction of Total Genetic Value Using Genome-Wide Dense Marker Maps

inferredcites →https://doi.org/10.1093/nar/gkv1344openalex-snapshot

The Pfam protein families database: towards a more sustainable future

inferredcites →https://doi.org/10.1186/1297-9686-44-29openalex-snapshot

Parallel Markov chain Monte Carlo - bridging the gap to high-performance Bayesian computation in animal breeding and genetics

inferredcites →https://doi.org/10.1186/1297-9686-46-50openalex-snapshot

A class of Bayesian methods to combine large numbers of genotyped and non-genotyped animals for whole-genome analyses

inferredcites →https://doi.org/10.1186/1471-2105-12-186openalex-snapshot

Extension of the bayesian alphabet for genomic selection

inferredcites →https://doi.org/10.1186/s12711-015-0157-xopenalex-snapshot

A fast and efficient Gibbs sampler for BayesB in whole-genome analyses

inferredcites →https://doi.org/10.1186/s12711-016-0273-2openalex-snapshot

Computational strategies for alternative single-step Bayesian regression models with large numbers of genotyped and non-genotyped animals

inferredcites →https://doi.org/10.1198/jasa.2011.tm10518openalex-snapshot

Rao–Blackwellization for Bayesian Variable Selection and Model Averaging in Linear and Binary Regression: A Novel Data Augmentation Approach

inferredcites →https://doi.org/10.1198/jcgs.2011.10167openalex-snapshot

Using Parallel Computation to Improve Independent Metropolis–Hastings Based Estimation

inferredcites →https://doi.org/10.1371/journal.pgen.1004969openalex-snapshot

Simultaneous Discovery, Estimation and Prediction Analysis of Complex Traits Using a Bayesian Mixture Model

inferredcites →https://doi.org/10.3168/jds.2011-5019openalex-snapshot

Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels

What points at this work

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inferred← citeshttps://doi.org/10.1007/978-981-13-3393-4_41openalex-snapshot

A Distributed Support Vector Machine Using Apache Spark for Semi-supervised Classification with Data Augmentation

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.