merge_features: Merge features across multiple replicates
In fosterlab/CFTK: The Co-Fractionation Toolkit
Description
Usage
Arguments
Value
View source: R/calculate_features.R
Description
Merge features extracted from multiple replicates into a single data
frame for input to a classifier. Note that the merged data frame may contain
missing values; to replace them, use the impute_missing_features
function.
Usage
1
merge_features(feature_dfs)
Arguments
feature_dfs
a list of feature data frames, each of which has protein
pairs in the first two columns. Alternatively, a list of square matrices
can be provided as input, and will be coerced into a list of feature
data frames.
Value
a data frame containing features for all protein pairs across all
replicates
fosterlab/CFTK documentation built on Jan. 19, 2021, 10:31 p.m.
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Description Usage Arguments Value
View source: R/calculate_features.R
Description
Merge features extracted from multiple replicates into a single data frame for input to a classifier. Note that the merged data frame may contain missing values; to replace them, use the impute_missing_features function.
Usage
1 | merge_features(feature_dfs)
|
Arguments
feature_dfs |
a list of feature data frames, each of which has protein pairs in the first two columns. Alternatively, a list of square matrices can be provided as input, and will be coerced into a list of feature data frames. |
Value
a data frame containing features for all protein pairs across all replicates
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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