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BlobCUT: A Contrastive Learning Method to Support Small Blob Detection in Medical Imaging.
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School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA.
Medical imaging-based biomarkers derived from small objects (e.g., cell nuclei) play a crucial role in medical applications.
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Centre for Evaluation and Information on Pharmacodependence, Clinical Pharmacology Department, Nantes University Hospital, Nantes, France.
Deconvolution of bulk blood eQTL effects into immune cell subpopulations.
BMC Bioinformatics
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Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
Background: Expression quantitative trait loci (eQTL) studies are used to interpret the function of disease-associated genetic risk factors. To date, most eQTL analyses have been conducted in bulk tissues, such as whole blood and tissue biopsies, which are likely to mask the cell type-context of the eQTL regulatory effects. Although this context can be investigated by generating transcriptional profiles from purified cell subpopulations, current methods to do this are labor-intensive and expensive.
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