covid: COVID-19 Multi-omics data
In YunhuiQi/TestPMD: Post Selection Inference on Results from Penalized Matrix Decomposition (SCCA only)
covid R Documentation
COVID-19 Multi-omics data
Description
A dataset including metabolome and proteome data of 102 patient diagnosed with COVID-19 in Albany Medical Center, NY from 6 April 2020 to 1 May 2020
Usage
covid
Format
A list containing element metabolite (metabolite count matrix with 102 samples, 111 variables), protein (protein count matrix with 102 samples, 517 variables) and meta (meta information).
References
Overmyer K A, Shishkova E, Miller I J, et al. Large-scale multi-omic analysis of COVID-19 severity[J]. Cell systems, 2021, 12(1): 23-40. e7.
YunhuiQi/TestPMD documentation built on May 5, 2022, 8:23 p.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.
| covid | R Documentation |
COVID-19 Multi-omics data
Description
A dataset including metabolome and proteome data of 102 patient diagnosed with COVID-19 in Albany Medical Center, NY from 6 April 2020 to 1 May 2020
Usage
covid
Format
A list containing element metabolite (metabolite count matrix with 102 samples, 111 variables), protein (protein count matrix with 102 samples, 517 variables) and meta (meta information).
References
Overmyer K A, Shishkova E, Miller I J, et al. Large-scale multi-omic analysis of COVID-19 severity[J]. Cell systems, 2021, 12(1): 23-40. e7.
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.