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Fowler, Anna ORCID: 0000-0003-1793-0047, Mahamdallie, Shazia, Ruark, Elise, Seal, Sheila, Ramsay, Emma, Clarke, Matthew, Uddin, Imran ORCID: 0000-0003-0736-3149, Wylie, Harriet ORCID: 0000-0002-8183-4853, Strydom, Ann, Lunter, Gerton ORCID: 0000-0002-3798-2058 et al (show 1 more authors) and Rahman, Nazneen ORCID: 0000-0003-4376-0440 (2016) Accurate clinical detection of exon copy number variants in a targeted NGS panel using DECoN. Wellcome open research, 1. 20-.

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Foers, Andrew D, Shoukat, M Saad, Welsh, Oliver E, Donovan, Killian, Petry, Russell, Evans, Shelley C, FitzPatrick, Michael EB, Collins, Nadine, Klenerman, Paul, Fowler, Anna et al (show 1 more authors) and Soilleux, Elizabeth J (2021) Classification of intestinal T cell receptor repertoires using machine learning methods can identify patients with coeliac disease regardless of dietary gluten status. The Journal of Pathology, 253 (3). pp. 279-291.

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Quinn, Leonard M, Haldenby, Sam, Antzcak, Philip, Fowler, Anna, Bullock, Katie ORCID: 0000-0002-5758-0179, Kenny, John, Gilbert, Timothy, Andrews, Timothy, Diaz-Nieto, Rafael, Fenwick, Stephen et al (show 7 more authors) , Jones, Robert ORCID: 0000-0001-5608-001X, Costello-Goldring, Eithne, Poston, Graeme, Greenhalf, William ORCID: 0000-0002-1865-3195, Palmer, Daniel, Malik, Hassan and Goldring, Chris (2023) Genomic profiling of idiopathic peri-hilar cholangiocarcinoma reveals new targets and mutational pathways. Scientific Reports, 13 (1). 6681-.

Fowler, Anna, Galson, Jacob D, Truck, Johannes, Kelly, Dominic F and Lunter, Gerton (2020) Inferring B cell specificity for vaccines using a Bayesian mixture model. BMC GENOMICS, 21 (1). 176-.

Brierley, Liam ORCID: 0000-0002-3026-4723 and Fowler, Anna (2021) Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning. PLoS Pathogens, 17 (4). e1009149-.

Brierley, Liam ORCID: 0000-0002-3026-4723 and Fowler, Anna ORCID: 0000-0003-1793-0047 (2020) Predicting the animal hosts of coronaviruses from compositional biases of spike protein and whole genome sequences through machine learning. unknown.

Shoukat, M Saad, Foers, Andrew D, Woodmansey, Stephen, Evans, Shelley C, Fowler, Anna and Soilleux, Elizabeth J (2021) Use of machine learning to identify a T cell response to SARS-CoV-2. CELL REPORTS MEDICINE, 2 (2). 100192-.

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Kockelbergh, Hannah, Evans, Shelley, Deng, Tong, Clyne, Ella, Kyriakidou, Anna, Economou, Andreas, Hoang, Kim Ngan Luu, Woodmansey, Stephen, Foers, Andrew, Fowler, Anna et al (show 1 more authors) and Soilleux, Elizabeth J (2022) Utility of Bulk T-Cell Receptor Repertoire Sequencing Analysis in Understanding Immune Responses to COVID-19. DIAGNOSTICS, 12 (5). 1222-.