miniAllZ: Subset of allZ matrix constructed from 8 CRC training...
In shbrief/GenomicSuperSignature: Interpretation of RNA-seq experiments through robust, efficient comparison to public databases
miniAllZ R Documentation
Subset of allZ matrix constructed from 8 CRC training datasets
Description
Eight colorectal cancer microarray datasets were used to build RAVmodel and
the intermediate file containing genes and top PCs from each dataset is named
as allZ. Hierarchical clustering result of allZ is saved as
res_hcut. For demonstration, we subset the allZ matrix with the
first 100 genes, which is named as miniAllZ.
Usage
miniAllZ
Format
A matrix with 100 genes and 160 PCs from 8 training datasets.
Author(s)
Sehyun Oh shbrief@gmail.com
Source
https://github.com/shbrief/model_building/tree/main/RAVmodel_8CRC
shbrief/GenomicSuperSignature documentation built on May 3, 2023, 10:07 p.m.
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| miniAllZ | R Documentation |
Subset of allZ matrix constructed from 8 CRC training datasets
Description
Eight colorectal cancer microarray datasets were used to build RAVmodel and
the intermediate file containing genes and top PCs from each dataset is named
as allZ. Hierarchical clustering result of allZ is saved as
res_hcut. For demonstration, we subset the allZ matrix with the
first 100 genes, which is named as miniAllZ.
Usage
miniAllZ
Format
A matrix with 100 genes and 160 PCs from 8 training datasets.
Author(s)
Sehyun Oh shbrief@gmail.com
Source
https://github.com/shbrief/model_building/tree/main/RAVmodel_8CRC
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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