concatenate_features: Combine features across multiple replicates
In PrInCE: Predicting Interactomes from Co-Elution
Description
Usage
Arguments
Value
View source: R/concatenate_features.R
Description
Concatenate features extracted from multiple replicates to a single data
frame that will be used as input to a classifier. Doing so allows the
classifier to naturally weight evidence for an interaction between each
protein pair from each feature in each replicate in proportion to its
discriminatory power on known examples.
Usage
1
concatenate_features(feature_list)
Arguments
feature_list
a list of feature data frames, as produced by
calculate_features, with proteins in the first two
columns
Value
a data frame containing features for all protein pairs across all
replicates
PrInCE documentation built on Nov. 8, 2020, 6:34 p.m.
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Description Usage Arguments Value
View source: R/concatenate_features.R
Description
Concatenate features extracted from multiple replicates to a single data frame that will be used as input to a classifier. Doing so allows the classifier to naturally weight evidence for an interaction between each protein pair from each feature in each replicate in proportion to its discriminatory power on known examples.
Usage
1 | concatenate_features(feature_list)
|
Arguments
feature_list |
a list of feature data frames, as produced by
|
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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