pseudotime tutorial

Package: hdWGCNA

Title: hdWGCNA

Version: 0.2.11

Version: 0.2.12

Authors@R: c(

    person("Sam", "Morabito", , "smorabit@uci.edu", role = c("aut", "cre"),

           comment = c(ORCID = "0000-0002-7768-4856")),

# Generated by roxygen2: do not edit by hand

export(AvgModuleExpr)

export(BinPseudotime)

export(ComputeModuleEigengene)

export(ConstructMetacells)

export(ConstructMetaspots)

export(PlotKMEs)

export(PlotModulePreservation)

export(PlotModuleTraitCorrelation)

export(PlotModuleTrajectory)

export(PlotSoftPowers)

export(ProjectModules)

export(ROCCurves)

import(Matrix)

import(Seurat)

import(WGCNA)

import(ggplot2)

import(harmony)

import(magrittr)

import(patchwork)

importFrom(Matrix,colSums)

importFrom(Matrix,rowSums)

importFrom(dplyr,"%>%")

# hdWGCNA 0.2.12 (2023-02-04)

## Added

- Module eigengene dynamics with pseudotime tutorial

- `PlotModuleTrajectory` function.

## Changes

- None.

# hdWGCNA 0.2.11 (2023-01-30)

## Added

- MAS-Seq tutorial (still under construction)

#' FindAllMarkers), and then the algorithm will only return major isoforms of the given marker genes.

#' @import Seurat

#' @import Matrix

#' @import magrittr

#' @export

FindMajorIsoforms <- function(

  seurat_obj,

    cur_genes <- subset(cluster_markers, cluster == cur_group & gene %in% cur_genes) %>% .$gene

    subset(iso_df, gene %in% cur_genes & iso %in% cur_isos) %>% .$iso

  })

  names(major_marker_list) <- names(major_list)

  # return major isoforms intersected with the marker gene table

  list('major' = major_list, 'marker' = major_marker_list)

  }

  # add module color to the kMEs table

  modules <- modules[,1:3]

  mods <- levels(modules$module)