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Supplemental Material for Husain et al., 2020

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posted on 2020-07-14, 14:39 authored by Benafsh Husain, Allison R. Hickman, Yuqing Hang, Benjamin T. Shealy, Karan Sapra, F Alex Feltus

S1 Table: Differentially expressed GCNs separated based on the five clusters. S2 Table: Functional enrichment analysis of all five cerebellar clusters. S3 Table: Subset of cerebellar associated GRN included 636 nodes connected via 1,146 edges. S4 Table: Functional enrichment output for WGCNA_GCN and KINC_GCN.

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Article title

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

Manuscript #

G3/2020/401067R2

Article DOI

10.1534/g3.120.401067

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

G3: Genes|Genomes|Genetics

Categories

Bioinformatics and computational biology not elsewhere classified

Keywords

Mutual Information Differential RNA expression Cerebellar gene regulatory network Computational Biology

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