Author

A. Pitt

University of Exeter

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Assay:imaging· 1 Assay:metabolomics· 1

Frequent Co-Authors

A. Thakker· 2 shared C. Spickett· 2 shared Cecilia M. LindgreniD· 1 shared Christian Malte BeckeriD· 1 shared Christoffer NellåkeriD· 1 shared Craig A. GlastonburyiD· 1 shared Emilie PasteliD· 1 shared Hanieh YaghootkariD· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBiochemistry

A. Thakker

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Machine Learning based histology phenotyping to investigate epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits

Craig A. Glastonbury, Sara L. Pulit, Julius Honecker, Jenny C. Censin, Samantha Laber, Hanieh Yaghootkar, Nilüfer Rahmioğlu, Emilie Pastel, Katarina Kos, A. Pitt, Michelle Hudson, Christoffer Nellåker, Nicola L. Beer, Hans Hauner, Christian Malte Becker, , Cecilia M. Lindgren

The paper develops a deep learning method for adipocyte phenotyping and finds adipocyte area correlates with BMI but no genome-wide significant genetic associations.

PLoS Computational Biology · Aug 14, 2020Peer-reviewedGenomics

Serial coupling of chromatographic columns having orthogonal selectivity to improve the coverage of oxidised lipidome for mass spectrometry analysis

A. Thakker, C. Spickett, A. Pitt

This study improves OxPL detection by serially coupling chromatographic columns, enhancing coverage of oxidized lipid species in mass spectrometry analysis.

bioRxiv · Sep 12, 2019 · PreprintBiochemistry

A Targeted Mass Spectrometry Approach to detect and quantify Oxidised Phospholipids in plasma samples of Diabetic patients

A. Thakker, C. Spickett, A. Pitt

This paper develops targeted mass spectrometry methods to detect and quantify oxidised phospholipids in diabetic patients' plasma, identifying short-chain oxidation products but finding no statistically significant abundance differences between diabetic and healthy samples.

bioRxiv · Sep 12, 2019 · PreprintBiochemistry