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