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All functions

analyze()
Analyzing summarized data
dataMissing()
Counting missing data
filterNA()
Filtering NA's post-imputation
filterOutIn()
Filtering proteins or contaminants
filterProtein()
Filter proteins by gene, accession or description
impute()
Imputation of raw data signals
impute.knn()
Imputation by the k-nearest neighbors algorithm
impute.knn_seq()
Imputation by the k-nearest neighbors algorithm
impute.knn_trunc()
Imputation by the truncated k-nearest neighbors algorithm
impute.mice_cart()
Imputation by classification and regression trees
impute.mice_norm()
Imputation by Bayesian linear regression
impute.min_global()
Imputation by the global minimum
impute.min_local()
Imputation by the local minimum
impute.nuc_norm()
Imputation by the nuclear-norm regularization
impute.pca_bayes()
Imputation by Bayesian principal components analysis
impute.pca_prob()
Imputation by probabilistic principal components analysis
normalize()
Normalization of preprocessed data
preprocessing()
Loading, filtering and reformatting of MS DIA data from Spectronaut
preprocessing_scaffold()
Loading and reformatting of MS data from Scaffold
pullProteinPath()
Compiling data on a single protein from each step in the process
sortcondition()
Creating a keyed list of conditions to the list of proteins that are present
summarize()
Summarize protein intensities across conditions
transform()
Log-based transformation
trimFASTA()
Trimming down a protein FASTA file to certain proteins
visualize()
Generating visualizations for MS Data