Bayesian Hierarchical Model for Identifying Changes in Gene Expression from Microarray Experiments. - Philippe Broët; Sylvia Richardson; François Radvanyi (J. Comput. Biol., 2002)

A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments. - Philippe Broët; Alex Lewin; Sylvia Richardson; Cyril Dalmasso; Henri Magdelenat (Bioinform., 2004)

Detection of gene copy number changes in CGH microarrays using a spatially correlated mixture model. - Philippe Broët; Sylvia Richardson (Bioinform., 2006)

A powerful method for detecting differentially expressed genes from GeneChip arrays that does not require replicates. - Anne-Mette K. Hein; Sylvia Richardson (BMC Bioinform., 2006)

BGX: a Bioconductor package for the Bayesian integrated analysis of Affymetrix GeneChips. - Ernest Turro; Natalia Bochkina; Anne-Mette K. Hein; Sylvia Richardson (BMC Bioinform., 2007)

Using Likelihood-Free Inference to Compare Evolutionary Dynamics of the Protein Networks of H. pylori and P. falciparum. - Oliver Ratmann; Ole Jørgensen 002; Trevor Hinkley; Michael P. H. Stumpf; Sylvia Richardson; Carsten Wiuf (PLoS Comput. Biol., 2007)

A Bayesian calibration model for combining different pre-processing methods in Affymetrix chips. - Marta Blangiardo; Sylvia Richardson (BMC Bioinform., 2008)

Examining the Association between Deprivation Profiles and Air Pollution in Greater London using Bayesian Dirichlet Process Mixture Models. - John Molitor; Léa Fortunato; Nuoo-Ting Molitor; Sylvia Richardson (COMPSTAT, 2010)

sdef: an R package to synthesize lists of significant features in related experiments. - Marta Blangiardo; Alberto Cassese; Sylvia Richardson (BMC Bioinform., 2010)

New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach. - Enrico Petretto; Leonardo Bottolo; Sarah R. Langley; Matthias Heinig; Chris McDermott-Roe; Rizwan Sarwar; Michal Pravenec; Norbert Hübner; Timothy J. Aitman; Stuart A. Cook; Sylvia Richardson (PLoS Comput. Biol., 2010)

Data Mining Cancer Registries: Retrospective Surveillance of Small Area Time Trends in Cancer Incidence Using BaySTDetect. - Guangquan Li; Sylvia Richardson; Léa Fortunato; Ismaïl Ahmed; Anna Hansell; Mireille Toledano; Nicky Best (ICDM Workshops, 2011)

ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration. - Leonardo Bottolo; Marc Chadeau-Hyam; David I. Hastie; Sarah R. Langley; Enrico Petretto; Laurence Tiret; David Tregouet; Sylvia Richardson (Bioinform., 2011)

Balancing the Robustness and Predictive Performance of Biomarkers. - Paul D. W. Kirk; Aviva Witkover; Charles R. M. Bangham; Sylvia Richardson; Alexandra M. Lewin; Michael P. H. Stumpf (J. Comput. Biol., 2013)

Identifying Cell Types from Spatially Referenced Single-Cell Expression Datasets. - Jean-Baptiste Pettit; Raju Tomer; Kaia Achim; Sylvia Richardson; Lamiae Azizi; John C. Marioni (PLoS Comput. Biol., 2014)

BASiCS: Bayesian Analysis of Single-Cell Sequencing Data. - Catalina A. Vallejos; John C. Marioni; Sylvia Richardson (PLoS Comput. Biol., 2015)

Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations. - David I. Hastie; Silvia Liverani; Sylvia Richardson (Stat. Comput., 2015)

MT-HESS: an efficient Bayesian approach for simultaneous association detection in OMICS datasets, with application to eQTL mapping in multiple tissues. - Alex Lewin; Habib Saadi; James E. Peters; Aida Moreno-Moral; James C. Lee; Kenneth G. C. Smith; Enrico Petretto; Leonardo Bottolo; Sylvia Richardson (Bioinform., 2016)

ontologyX: a suite of R packages for working with ontological data. - Daniel Greene; Sylvia Richardson; Ernest Turro (Bioinform., 2017)

Whole-genome sequencing of patients with rare diseases in a national health system. - Ernest Turro; William J. Astle; Karyn Megy; Stefan Gräf; Daniel Greene; Olga Shamardina; Hana Lango Allen; Alba Sanchis-Juan; Mattia Frontini; Chantal Thys; Jonathan Stephens; Rutendo Mapeta; et al. (Nat., 2020)

High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking. - Fan Wang; Sach Mukherjee; Sylvia Richardson; Steven M. Hill (Stat. Comput., 2020)

BayesSUR: An R Package for High-Dimensional Multivariate Bayesian Variable and Covariance Selection in Linear Regression. - Zhi Zhao; Marco Banterle; Leonardo Bottolo; Sylvia Richardson; Alex Lewin; Manuela Zucknick (J. Stat. Softw., 2021)

An informatics consult approach for generating clinical evidence for treatment decisions. - Alvina Grace Lai; Wai Hoong Chang; Constantinos A. Parisinos; Michail Katsoulis; Ruth M. Blackburn; Anoop D. Shah; Vincent Nguyen; Spiros C. Denaxas; George Davey Smith; Tom R. Gaunt; Krishnarajah Nirantharakumar; Murray P. Cox; et al. (BMC Medical Informatics Decis. Mak., 2021)

A large-scale and PCR-referenced vocal audio dataset for COVID-19. - Jobie Budd; Kieran Baker; Emma Karoune; Harry Coppock; Selina Patel; Ana Tendero Cañadas; Alexander Titcomb; Richard Payne; David Hurley; Sabrina Egglestone; Lorraine Butler; Jonathon Mellor; et al. (CoRR, 2022)

Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers. - Harry Coppock; George Nicholson; Ivan Kiskin; Vasiliki Koutra; Kieran Baker; Jobie Budd; Richard Payne; Emma Karoune; David Hurley; Alexander Titcomb; Sabrina Egglestone; Ana Tendero Cañadas; et al. (CoRR, 2022)

On randomized sketching algorithms and the Tracy-Widom law. - Daniel Ahfock; William J. Astle; Sylvia Richardson (Stat. Comput., 2023)

Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers. - Harry Coppock; George Nicholson; Ivan Kiskin; Vasiliki Koutra; Kieran Baker; Jobie Budd; Richard Payne; Emma Karoune; David Hurley; Alexander Titcomb; Sabrina Egglestone; Ana Tendero Cañadas; et al. (Nat. Mac. Intell., 2024)

Efficient Bayesian functional principal component analysis of irregularly-observed multivariate curves. - Tui H. Nolan; Sylvia Richardson; Hélène Ruffieux (Comput. Stat. Data Anal., 2025)

Federated Variational Inference for Bayesian Mixture Models. - Jackie Rao; Francesca Crowe; Tom Marshall; Sylvia Richardson; Paul D. W. Kirk (CoRR, 2025)