Loss-Function Learning for Digital Tissue Deconvolution
نویسندگان
چکیده
منابع مشابه
Loss-function learning for digital tissue deconvolution
Background: The gene expression profile of a tissue averages the expression profiles of all cells in this tissue. Digital tissue deconvolution (DTD) addresses the following inverse problem: Given the expression profile y of a tissue, what is the cellular composition c of that tissue? If X is a matrix whose columns are reference profiles of individual cell types, the composition c can be compute...
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ژورنال
عنوان ژورنال: Journal of Computational Biology
سال: 2020
ISSN: 1557-8666
DOI: 10.1089/cmb.2019.0462