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-omics analyses, we have been granted funding from DDLS in the field of data-driven precision medicine and diagnostics (see below). The project is titled: Causes and consequences of whole-body composition
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. The project revolves around developing Traident – a new method to resolve the species origins and compositions of complex RNA sequence data. This will extend Kraken2 with analyses of ribosomal RNA and microRNA
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gene expression profiles and cellular heterogeneity within tissues can predict how existing drugs might act on previously uncharacterized disease mechanisms or cellular subtypes. These models will be
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variability in risk factor susceptibility, treatment response, disease pathogenesis, and clinical diagnosis (biostatistics, machine/deep learning), ii) Investigating causal processes and disease mechanisms
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supported by the SciLifeLab and Wallenberg National Program. The research group at the Department of Medical Biochemistry and Microbiology where the candidate will be joining is focusing on mechanisms and
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molecular mechanisms that drive its invasive behavior, both general and patient-specific. Using cutting-edge spatial techniques and CRISPR-based methods, we build data-driven models that link gene regulation