Williams, John A., et al. “Inflammation and brain structure in schizophrenia and other neuropsychiatric disorders: an interrogation of causal pathways and transcriptomic profiles”. JAMA Psychiatry. In press.
Russ, D.,* Williams, John A*, et al. “Evaluating the detection ability of a range of epistasis detection methods on simulated data for pure and impure epistatic models”. PLOS One. In press. *Joint first author.
Slater, Luke T., Williams, John A., et al. “Multi-Faceted Semantic Clustering with Text-Derived Phenotypes.” Computers in Biology and Medicine, vol. 138, Nov. 2021, p. 104904.
Karwath, Andreas, … Williams, John A., et al. “Redefining β-Blocker Response in Heart Failure Patients with Sinus Rhythm and Atrial Fibrillation: A Machine Learning Cluster Analysis.” The Lancet, Aug. 2021.
Williams, John A., et al. “A Causal Web between Chronotype and Metabolic Health Traits.” Genes, vol. 12, no. 7, July 2021, p. 1029.
Williams, John A., et al. “Genomic Mutation Identification in Mice Using Illumina Sequencing and Linux-Based Computational Methods.” Current Protocols in Mouse Biology, vol. 9, no. 3, 2019, p. e64.
Bravo-Merodio, Laura, Williams, John A., et al. “-Omics Biomarker Identification Pipeline for Translational Medicine.” Journal of Translational Medicine, vol. 17, no. 1, May 2019, p. 155.
Brown, Laurence A., Williams, John, et al. “Meta-Analysis of Transcriptomic Datasets Identifies Genes Enriched in the Mammalian Circadian Pacemaker.” Nucleic Acids Research, vol. 45, no. 17, Sept. 2017, pp. 9860–73.
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