KallistoExperiment: Initializes a KallistoExperiment and performs some...
In RamsinghLab/arkas_staging: A package that complements Kallisto for quick, informative *seq analysis
View source: R/KallistoExperiment.R
Description
FIXME: add Harold's quasi-normalized TPM method for tx-level comparisons.
Usage
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KallistoExperiment(est_counts = NULL, eff_length = NULL,
transcriptomes = NULL, covariates = DataFrame(),
features = GRangesList(), kallistoVersion = "", est_counts_mad = NULL)
Arguments
est_counts
matrix of estimated counts
eff_length
matrix of effective transcript lengths
transcriptomes
string or strings naming the target txomes
covariates
the column metadata (covariates) for each sample
features
the row-wise annotations for the object
kallistoVersion
version of Kallisto used to run the experiment
est_counts_mad
matrix of count MADs summarizing bootstrap runs
RamsinghLab/arkas_staging documentation built on March 14, 2021, 11:40 a.m.
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View source: R/KallistoExperiment.R
Description
FIXME: add Harold's quasi-normalized TPM method for tx-level comparisons.
Usage
1 2 3 | KallistoExperiment(est_counts = NULL, eff_length = NULL,
transcriptomes = NULL, covariates = DataFrame(),
features = GRangesList(), kallistoVersion = "", est_counts_mad = NULL)
|
Arguments
est_counts |
matrix of estimated counts |
eff_length |
matrix of effective transcript lengths |
transcriptomes |
string or strings naming the target txomes |
covariates |
the column metadata (covariates) for each sample |
features |
the row-wise annotations for the object |
kallistoVersion |
version of Kallisto used to run the experiment |
est_counts_mad |
matrix of count MADs summarizing bootstrap runs |
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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