Ranking: Dataset: A default ranking of features for the fuction...
In taoshengxu/CancerSubtypes: Cancer subtypes identification, validation and visualization based on multiple genomic data sets
Description
Format
Details
References
Examples
Description
A dataframe represents the regulatory ranking for features(mRNA,TF,miRNA) caculated based on the miRNA-TF-miRNA regulatory network which was promoted in our published work:
Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data(PLos One,2016).
Format
dataframe
Details
mRNA_TF_miRNA_ID : ENTREZID for genes(mRNA,TF) and miRBase Accession ID for miRNAs.
mRNA_TF_miRNA.v21._SYMBOL: gene symbol and miRNA names(miRBase Version 21)
feature_ranking: the numeric values represents regulatory ranking for each feature.
References
Xu, T., Le, T. D., Liu, L., Wang, R., Sun, B., & Li, J. (2016). Identifying cancer subtypes from mirna-tf-mrna regulatory networks and expression data. PloS one, 11(4), e0152792.
Examples
1
taoshengxu/CancerSubtypes documentation built on Dec. 23, 2021, 7:46 a.m.
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Description Format Details References Examples
Description
A dataframe represents the regulatory ranking for features(mRNA,TF,miRNA) caculated based on the miRNA-TF-miRNA regulatory network which was promoted in our published work: Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data(PLos One,2016).
Format
dataframe
Details
mRNA_TF_miRNA_ID : ENTREZID for genes(mRNA,TF) and miRBase Accession ID for miRNAs.
mRNA_TF_miRNA.v21._SYMBOL: gene symbol and miRNA names(miRBase Version 21)
feature_ranking: the numeric values represents regulatory ranking for each feature.
References
Xu, T., Le, T. D., Liu, L., Wang, R., Sun, B., & Li, J. (2016). Identifying cancer subtypes from mirna-tf-mrna regulatory networks and expression data. PloS one, 11(4), e0152792.
Examples
1 |
R Package Documentation
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