Unbiased proteomics and multivariable regularized regression techniques identify SMOC1, NOG, APCS, a...
Unbiased proteomics and multivariable regularized regression techniques identify SMOC1, NOG, APCS, and NTN1 in an Alzheimer’s disease brain proteomic signature
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London: Nature Publishing Group
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English
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London: Nature Publishing Group
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Advancements in omics methodologies have generated a wealth of high-dimensional Alzheimer’s disease (AD) datasets, creating significant opportunities and challenges for data interpretation. In this study, we utilized multivariable regularized regression techniques to identify a reduced set of proteins that could discriminate between AD and cognitiv...
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Unbiased proteomics and multivariable regularized regression techniques identify SMOC1, NOG, APCS, and NTN1 in an Alzheimer’s disease brain proteomic signature
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TN_cdi_proquest_journals_2833804737
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2833804737
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2056-3973
DOI
10.1038/s41514-023-00112-6
