transdata: Transcriptomic data
In biodataganache/leapR: Layered enrichment analysis of pathways R
transdata R Documentation
Transcriptomic data
Description
A dataset containing gene transcriptomic data containing 18632 genes and 174 patient samples.
Values represent normalized (Z score) gene expression relative to the mean expression for that gene
A dataset containing phosphoproteomic data containing 20732 phosphosites and 69 patient samples.
Values represent normalized (Z score) phosphorylation adjusted to the protein abundance
Usage
transdata
transdata
Format
A data frame with 18632 rows and 174 columns
A data frame with 20732 rows and 70 columns - first column is protein id
Source
H. Zhang et al., Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer. Cell 166, 755-765 (2016)
H. Zhang et al., Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer. Cell 166, 755-765 (2016)
biodataganache/leapR documentation built on Jan. 20, 2024, 2:55 a.m.
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.
| transdata | R Documentation |
Transcriptomic data
Description
A dataset containing gene transcriptomic data containing 18632 genes and 174 patient samples. Values represent normalized (Z score) gene expression relative to the mean expression for that gene
A dataset containing phosphoproteomic data containing 20732 phosphosites and 69 patient samples. Values represent normalized (Z score) phosphorylation adjusted to the protein abundance
Usage
transdata
transdata
Format
A data frame with 18632 rows and 174 columns
A data frame with 20732 rows and 70 columns - first column is protein id
Source
H. Zhang et al., Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer. Cell 166, 755-765 (2016)
H. Zhang et al., Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer. Cell 166, 755-765 (2016)
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.