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The Gene Expression Deconvolution Interactive Tool (GEDIT): accurate cell type quantification from gene expression data

2021; University of Oxford; Volume: 10; Issue: 2 Linguagem: Inglês

10.1093/gigascience/giab002

2047-217X

Brian B. Nadel, David López, Dennis Montoya, Feiyang Ma, Hannah Waddel, Misha M. Khan, Serghei Mangul, Matteo Pellegrini,

Cell Image Analysis Techniques

The cell type composition of heterogeneous tissue samples can be a critical variable in both clinical and laboratory settings. However, current experimental methods of cell type quantification (e.g., cell flow cytometry) are costly, time consuming and have potential to introduce bias. Computational approaches that use expression data to infer cell type abundance offer an alternative solution. While these methods have gained popularity, most fail to produce accurate predictions for the full range of platforms currently used by researchers or for the wide variety of tissue types often studied.