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On methods for the suppression of aliasing in time-series gene expression data
Author(s) -
J. F. McKenzie
Publication year - 2018
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.22215/etd/2010-09329
Subject(s) - series (stratigraphy) , aliasing , expression (computer science) , gene expression , time series , computer science , computational biology , gene , biology , genetics , artificial intelligence , machine learning , programming language , paleontology , undersampling