Inferring cell-specific gene regulatory network |
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inferCSN: inferring Cell-Specific gene regulatory Network |
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inferring Cell-Specific gene regulatory Network |
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Network processing |
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Sifting network |
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Weight sift |
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Network evaluation |
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Calculate Network Prediction Performance Metrics |
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Network visualization |
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Plot contrast networks |
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Plot dynamic networks |
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Plot network heatmap |
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Plot dynamic networks |
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Plotting functions |
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Plot coefficients |
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Plot coefficients for multiple targets |
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Plot embedding |
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Plot histogram |
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Plot expression data in a scatter plot |
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Calculate gene rank |
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Rank TFs and genes in network |
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Sparse regression model |
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Construct network for single target gene |
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Sparse regression model |
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Fit a sparse regression model |
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Utils functions |
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Value selection operator |
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Convert sparse matrix into dense matrix |
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Check sparsity of matrix |
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Extracts a specific solution in the regularization path |
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Filter and sort matrix |
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Print diagnostic message |
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Switch matrix to network table |
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Detection of metacells from single-cell gene expression matrix |
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Format network table |
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Normalize numeric vector |
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Parallelize a function |
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Correlation and covariance calculation for sparse matrix |
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Prints a summary of |
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Predicts response for a given sample |
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\(R^2\) (coefficient of determination) |
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Safe correlation function which returns a sparse matrix without missing values |
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Split indices. |
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Generate a simulated sparse matrix for single-cell data testing |
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Subsampling function |
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Switch network table to matrix |
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Example data |
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Example matrix data |
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Example meta data |
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Example ground truth data |