Browse code

Removing redundancies

Sokratis Kariotis authored on 10/04/2024 11:29:39
Showing 5 changed files

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@@ -2,7 +2,7 @@ Package: omada
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 Type: Package
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 Title: Machine learning tools for automated transcriptome 
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     clustering analysis
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-Version: 1.5.5
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+Version: 1.5.7
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 Authors@R: person("Sokratis", "Kariotis", role = c("aut", "cre"),
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                         email = "[email protected]",
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                         comment = c(ORCID = "0000-0001-9993-6017"))
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@@ -9,7 +9,6 @@ S3method(get_cluster_voting_k_votes,clusterAnalysis)
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 S3method(get_cluster_voting_memberships,clusterAnalysis)
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 S3method(get_cluster_voting_metric_votes,clusterAnalysis)
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 S3method(get_cluster_voting_scores,clusterAnalysis)
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-S3method(get_coefficient_dataset,geneSignature)
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 S3method(get_feature_selection_optimal_features,clusterAnalysis)
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 S3method(get_feature_selection_optimal_number_of_features,clusterAnalysis)
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 S3method(get_feature_selection_scores,clusterAnalysis)
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@@ -46,7 +45,6 @@ export(get_cluster_voting_k_votes)
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 export(get_cluster_voting_memberships)
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 export(get_cluster_voting_metric_votes)
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 export(get_cluster_voting_scores)
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-export(get_coefficient_dataset)
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 export(get_feature_selection_optimal_features)
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 export(get_feature_selection_optimal_number_of_features)
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 export(get_feature_selection_scores)
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deleted file mode 100644
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@@ -1,15 +0,0 @@
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-#' Get a list of LASSO (regression analysis) coefficients of each gene
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-#'
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-#' @param object An object of class "geneSignature"
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-#' @return A list of LASSO (regression analysis) coefficients of each gene
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-#' @export
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-#'
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-#' @examples
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-
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-get_coefficient_dataset <- function(object) {
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-    UseMethod("get_coefficient_dataset")
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-}
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-#' @export
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-get_coefficient_dataset.geneSignature <- function(object) {
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-    object$coefficient.dataset
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-}
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deleted file mode 100644
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@@ -1,17 +0,0 @@
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-% Generated by roxygen2: do not edit by hand
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-% Please edit documentation in R/get_coefficient_dataset.R
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-\name{get_coefficient_dataset}
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-\alias{get_coefficient_dataset}
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-\title{Get a list of LASSO (regression analysis) coefficients of each gene}
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-\usage{
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-get_coefficient_dataset(object)
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-}
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-\arguments{
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-\item{object}{An object of class "geneSignature"}
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-}
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-\value{
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-A list of LASSO (regression analysis) coefficients of each gene
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-}
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-\description{
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-Get a list of LASSO (regression analysis) coefficients of each gene
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-}
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@@ -68,13 +68,11 @@ cv.memberships <- get_cluster_voting_memberships(omada.analysis)
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 cv.metrics.votes <- get_cluster_voting_metric_votes(omada.analysis)
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 cv.k.votes <- get_cluster_voting_k_votes(omada.analysis)
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 sample.memberships <- get_sample_memberships(omada.analysis)
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-#sf.coefs <- get_signature_feature_coefs(omada.analysis)
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 # Plot results
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 plot_partition_agreement(omada.analysis)
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 plot_feature_selection(omada.analysis)
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 plot_cluster_voting(omada.analysis)
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-#plot_signature_feature(omada.analysis)
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 ```
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 ### Selecting the most appropriate clustering approach based on a dataset