OV_SRM_train: The training set from a study for subjects with ovarian...
In MSstatsSampleSize: Simulation tool for optimal design of high-dimensional MS-based proteomics experiment
Description
Usage
Format
References
Examples
Description
It is a protein abundance data matrix,
where rows are proteins and columns are samples.
It includes log2 protein intensities for 67 proteins
among 173 biological subjects from control and cancer groups.
It is the input for estimateVar and simulateDataset function,
with annotation file. It should be prepared by users.
Usage
1
Format
A numeric matrix with 67 rows and 173 columns.
References
Huttenhain R and Choi M et al. (2019).
A targeted mass spectrometry strategy for developing proteomic biomarkers:
a case study of epithelial ovarian cancer.
Mol Cell Proteomics 18(9):1836-1850.
doi:10.1074/mcp.RA118.001221.
Examples
1
MSstatsSampleSize documentation built on Nov. 8, 2020, 4:53 p.m.
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Description Usage Format References Examples
Description
It is a protein abundance data matrix, where rows are proteins and columns are samples. It includes log2 protein intensities for 67 proteins among 173 biological subjects from control and cancer groups. It is the input for estimateVar and simulateDataset function, with annotation file. It should be prepared by users.
Usage
1 |
Format
A numeric matrix with 67 rows and 173 columns.
References
Huttenhain R and Choi M et al. (2019). A targeted mass spectrometry strategy for developing proteomic biomarkers: a case study of epithelial ovarian cancer. Mol Cell Proteomics 18(9):1836-1850. doi:10.1074/mcp.RA118.001221.
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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