RNA2miRNA: Paired miRNA and Genes with Negative Correlation Coefficients
In caOmicsV: Visualization of multi-dimentional cancer genomics data
Description
Usage
Format
Value
Examples
Description
A data frame contains 26 genes and their most negative correlated miRNA.
Used for demo of generation a new data frame with gene names and related
miRNA read counts.
Usage
1
data("RNA2miRNA")
Format
A data frame with 26 observations on the following 2 variables.
GeneSymbol-
a factor with levels
ADAMTS13 AMIGO3 BCO2 CDKN3 CFP
COL15A1 CSRNP1 CXCL12 DBH ECM1
ESM1 FCN3 LEPREL1 LIFR LILRB5
LOC222699 LYVE1 MT1F OLFML3 PLVAP
PTH1R RCAN1 RND3 SEMA3F SLC26A6
TOMM40L
miRNA_ID-
a factor with levels
hsa.mir.101.1 hsa.mir.101.2 hsa.mir.10b
hsa.mir.139 hsa.mir.424 hsa.mir.450b
Value
None
Examples
1
caOmicsV documentation built on Nov. 8, 2020, 8:23 p.m.
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Description Usage Format Value Examples
Description
A data frame contains 26 genes and their most negative correlated miRNA. Used for demo of generation a new data frame with gene names and related miRNA read counts.
Usage
1 | data("RNA2miRNA")
|
Format
A data frame with 26 observations on the following 2 variables.
GeneSymbol-
a factor with levels
ADAMTS13AMIGO3BCO2CDKN3CFPCOL15A1CSRNP1CXCL12DBHECM1ESM1FCN3LEPREL1LIFRLILRB5LOC222699LYVE1MT1FOLFML3PLVAPPTH1RRCAN1RND3SEMA3FSLC26A6TOMM40L miRNA_ID-
a factor with levels
hsa.mir.101.1hsa.mir.101.2hsa.mir.10bhsa.mir.139hsa.mir.424hsa.mir.450b
Value
None
Examples
1 |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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