PrInCE                  PrInCE: Prediction of Interactomes from
                        Co-Elution
adjacency_matrix_from_data_frame
                        Create an adjacency matrix from a data frame
adjacency_matrix_from_list
                        Create an adjacency matrix from a list of
                        complexes
aic                     Model selection for Gaussian mixture models
build_gaussians         Deconvolve profiles into Gaussian mixture
                        models
calculate_autocorrelation
                        Calculate the autocorrelation for each protein
                        between a pair of co-elution experiments.
calculate_features      Calculate the default features used to predict
                        interactions in PrInCE
calculate_precision     Calculate precision at each point in a sequence
check_gaussians         Check the format of a list of Gaussians
choose_gaussians        Fit a Gaussian mixture model to a co-elution
                        profile
clean_profile           Preprocess a co-elution profile
clean_profiles          Preprocess a co-elution profile matrix
co_apex                 Calculate the co-apex score for every protein
                        pair
concatenate_features    Combine features across multiple replicates
detect_complexes        Detect significantly interacting complexes in a
                        chromatogram matrix
filter_profiles         Filter a co-elution profile matrix
fit_curve               Output the fit curve for a given mixture of
                        Gaussians
fit_gaussians           Fit a mixture of Gaussians to a chromatogram
                        curve
gold_standard           Reference set of human protein complexes
impute_neighbors        Impute single missing values
is_unweighted           Test whether a network is unweighted
is_weighted             Test whether a network is weighted
kristensen              Interactome of HeLa cells
kristensen_gaussians    Fitted Gaussian mixture models for the
                        'kristensen' dataset
make_feature_from_data_frame
                        Create a feature vector for a classifier from a
                        data frame
make_feature_from_expression
                        Create a feature vector from expression data
make_initial_conditions
                        Make initial conditions for curve fitting with
                        a mixture of Gaussians
make_labels             Make labels for a classifier based on a gold
                        standard
match_matrix_dimensions
                        Match the dimensions of a query matrix to a
                        profile matrix
predict_ensemble        Predict interactions using an ensemble of
                        classifiers
predict_interactions    Predict interactions given a set of features
                        and examples
replace_missing_data    Replace missing data with median ± random noise
scott                   Cytoplasmic interactome of Jurkat T cells
                        during apoptosis
scott_gaussians         Fitted Gaussian mixture models for the 'scott'
                        dataset
threshold_precision     Threshold interactions at a given precision
                        cutoff
