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MOTS-c is expressed in various tissues and in circulation (plasma) in rodents and humans, suggesting both a cell-autonomous and hormonal role [32], and co-localizes with mitochondria in the cell [4]

We recently developed a novel machine learning technique, the robust support vector machine (rSVM), that can achieve highly accurate classification in the face of data uncertainty from noise in training data, ubiquitous in clinical research.[1] Methods: We used the rSVM to classify participants as having manifest/nonmanifest HD based on UHDRS motor subscores, with observerrated DCL classifications forming the reference standard

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[DOI] [PMC free article] [PubMed] [Google Scholar] 109.Zhou R.F., Chen X.L., Zhou Z.G., Zhang Y.J., Lan Q.Y., Liao G.C., Chen Y.M., Zhu H.L