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#' INDEED: A network-based method for cacner biomarker discovery. |
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#' |
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#' The INDEED R package provides important functions as shown below: |
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#' non_partial_cor(), select_rho_partial(), partial_cor(), and network_display(). |
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#' |
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#' @section non_partial_cor function: |
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#' non_partial_cor function performs typical correlation analysis |
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#' based on user input data, class label, p-value, sample id, |
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#' number of permutations, and the method (default pearson) |
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#' p value is optional, |
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#' the result of score table and differential network will be returned |
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#' |
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#' @section select_rho_partial function: |
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#' select_rho_partial function preprocesses data for partical correlation analysis, |
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#' the result contains list of preprocessed data and rho values and |
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#' error plot for user to choose desired rho value for graphical lasso |
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#' |
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#' @section partial_cor function: |
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#' partial_cor function performs partical correlation analysis |
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#' based on user input preprocessed list from select_rho_partial step |
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#' and the rho choosing method or values of their choice |
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#' and number of permutations (default 1000), p-value is optional, |
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#' the result of score table and differential network will be returned |
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#' |
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#' @section network_display function: |
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#' A function to assist in the network visualization of the result from INDEED functions |
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#' non_partial_cor() and patial_cor(). |
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#' |
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#' @docType package |
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#' @name INDEED |
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NULL |