On triangle inequalities of correlation-based distances for gene expression profiles
Abstract Background Distance functions are fundamental for evaluating the differences between gene expression profiles. Such a function would output a low value if the profiles are strongly correlated—either negatively or positively—and vice versa. One popular distance function is the absolute corre...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-02-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-023-05161-y |