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Assessing the Feasibility of Learning Biomedical Phenotype Patterns Using High-Throughput Omics Profiles
DownloadSpring 2014
A decade after the completion of the human genome project, the rapid advancement of the high-throughput measurement technologies has made omics (genomics, epigenomics, transcriptomics, metabolomics) profiling feasible. The availability of such omics profiles has raised the hope for the...
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Molecular and Machine Learning Based Characterization of Human Skeletal Muscle to Decipher Complex Biological Processes Governing Muscle Wasting in Surgical Patients with Cancer
DownloadSpring 2023
Cancer cachexia is a multifactorial syndrome characterized by progressive loss of weight (WL), muscle, and fat tissues. Skeletal muscle wasting, in particular, is strongly associated with morbidity and mortality. Understanding the pathophysiological mechanisms underlying muscle wasting in humans...