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Title Authors Journal Year of Publication DOI Pubmed ID
High-throughput mouse phenomics for characterizing mammalian gene function S.D.M. Brown; C.C. Holmes; A.M. Mallon; T.F. Meehan; D. Smedley; S. Wells Nat Rev Genet 2018 10.1038/s41576-018-0005-2
On Markov chain Monte Carlo methods for tall data R. Bardenet; A. Doucet; C. Holmes Journal of Machine Learning Research 2017
Comparing two sequential Monte Carlo samplers for exact and approximate Bayesian inference on biological models A.C. Daly; J. Cooper; D.J. Gavaghan; C. Holmes J R Soc Interface 2017 10.1098/rsif.2017.0340


Principles of Experimental Design for Big Data Analysis C.C. Drovandi; C. Holmes; J.M. McGree; K. Mengersen; S. Richardson; E.G. Ryan Stat Sci 2017 10.1214/16-sts604


A Bayesian Nonparametric Approach to Testing for Dependence Between Random Variables S. Filippi; C. Holmes Bayesian Anal 2017 10.1214/16-BA1027
Assigning a value to a power likelihood in a general Bayesian model C.C. Holmes; S.G. Walker Biometrika 2017 10.1093/biomet/asx010
A note on statistical repeatability and study design for high-throughput assays G. Nicholson; C. Holmes Stat Med 2017 10.1002/sim.7175


Artemether-Lumefantrine and Dihydroartemisinin-Piperaquine Exert Inverse Selective Pressure on Plasmodium Falciparum Drug Sensitivity-Associated Haplotypes in Uganda A.R. Taylor; J.A. Flegg; C.C. Holmes; P.J. Guerin; C.H. Sibley; M.D. Conrad; G. Dorsey; P.J. Rosenthal Open Forum Infect Dis 2017 10.1093/ofid/ofw229


Characterizing variation of nonparametric random probability measures using the Kullback–Leibler divergence J. Watson; L. Nieto-Barajas; C. Holmes Statistics 2017 10.1080/02331888.2016.1258072
The nature and nurture of cell heterogeneity: accounting for macrophage gene-environment interactions with single-cell RNA-Seq Q.F. Wills; E. Mellado-Gomez; R. Nolan; D. Warner; E. Sharma; J. Broxholme; B. Wright; H. Lockstone; W. James; M. Lynch; M. Gonzales; J. West; A. Leyrat; S. Padilla-Parra; S. Filippi; C. Holmes; M.D. Moore; R. Bowden BMC Genomics 2017 10.1186/s12864-016-3445-0