NetExtractor: Extracting a Cerebellar Tissue Gene Regulatory Network Using Differentially Expressed High Mutual Information Binary RNA Profiles

NetExtractor: Extracting a Cerebellar Tissue Gene Regulatory Network Using Differentially Expressed High Mutual Information Binary RNA Profiles

Bigenic expression relationships are conventionally defined based on metrics such as Pearson or Spearman correlation that cannot typically detect latent, non-linear dependencies or require the relationship to be monotonic. Further, the combination of intrinsic and extrinsic noise as well as embedded...

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Bibliographic Details
Main Authors: Benafsh Husain, Allison R. Hickman, Yuqing Hang, Benjamin T. Shealy, Karan Sapra, F. Alex Feltus
Format: Article
Language:English
Published: Oxford University Press 2020-09-01
Series:G3: Genes, Genomes, Genetics
Subjects:
mutual information
differential rna
expression
cerebellar gene
regulatory network
Online Access:http://g3journal.org/lookup/doi/10.1534/g3.120.401067

Internet

http://g3journal.org/lookup/doi/10.1534/g3.120.401067

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