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Continuous data

JR Jordan N Reed
JH Jiansheng Huang
YL Yong Li
LM Lijiang Ma
DB Dhanush Banka
MW Martin Wabitsch
TW Tianfang Wang
WD Wen Ding
JB Johan LM Björkegren
MC Mete Civelek
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Although the network is built on discretized gene expression data, RIMBANET is able to use continuous gene expression data to inform network construction. First, the continuous data are used to generate Pearson correlations between all genes. Correlations with significance P < 0.01 are used as prior information to determine possible parents and prioritize which edges to add or remove.

Copyright and License information:  ©2024 Reed et al.
This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

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