training_gene_sample: Input gene list for training 'scGPS', e.g. differentially...
In IMB-Computational-Genomics-Lab/scGPS: A complete analysis of single cell subpopulations, from identifying subpopulations to analysing their relationship (scGPS = single cell Global Predictions of Subpopulation)
Description
Usage
Format
Value
Author(s)
Source
Description
Genes should be ordered from most to least important genes
(1 row per gene)
Usage
1
Format
a list instance, containing a count matrix and a vector with
clustering information.
Value
a vector containing gene symbols
Author(s)
Quan Nguyen, 2017-11-25
Source
Dr Joseph Powell's laboratory, IMB, UQ
IMB-Computational-Genomics-Lab/scGPS documentation built on Dec. 6, 2020, 3:20 p.m.
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Description Usage Format Value Author(s) Source
Description
Genes should be ordered from most to least important genes (1 row per gene)
Usage
1 |
Format
a list instance, containing a count matrix and a vector with clustering information.
Value
a vector containing gene symbols
Author(s)
Quan Nguyen, 2017-11-25
Source
Dr Joseph Powell's laboratory, IMB, UQ
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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