createGiottoVisiumObject从10x原始数据创建 giotto对象

createGiottoVisiumObject从10x原始数据创建 giotto对象createsGiottoobjectdirectlyfroma10Xvisiumfolder原始数据文件夹子1##providepathtovisiumfolderdir.create(“G:/silicosis/

creates Giotto object directly from a 10X visium folder

原始数据文件夹子
在这里插入图片描述
1## provide path to visium folder
dir.create( “G:/silicosis/sicosis/gitto/silicosis_data/”)
data_path = “G:/silicosis/sicosis/gitto/silicosis_data/”

visium_brain = createGiottoVisiumObject(visium_dir = data_path,
+                                         h5_visium_path = "G:/raw_material for omics_chaojie/silicosis for spatial transcription/B26/2.3.h5_files/filtered_feature_bc_matrix.h5",
+                                         h5_gene_ids = c("symbols"),
+                                         h5_image_png_path= "G:/raw_material for omics_chaojie/silicosis for spatial transcription/B26/spatial/tissue_lowres_image.png", 
+                                         h5_tissue_positions_path = "G:/raw_material for omics_chaojie/silicosis for spatial transcription/B26/spatial/tissue_positions_list.csv",
+                                         instructions = instrs)
A path to an .h5 10X file was provided and will be used 
Consider to install these (optional) packages to run all possible Giotto commands for spatial analyses:  smfishHmrf trendsceek SPARK multinet RTriangle FactoMiner
 Giotto does not automatically install all these packages as they are not absolutely required and this reduces the number of dependencies
createGiottoVisiumObject(
  visium_dir = NULL,
  expr_data = c("raw", "filter"),
  gene_column_index = 1,
  h5_visium_path = NULL,
  h5_gene_ids = c("symbols", "ensembl"),
  h5_tissue_positions_path = NULL,
  h5_image_png_path = NULL,
  png_name = NULL,
  xmax_adj = 0,
  xmin_adj = 0,
  ymax_adj = 0,
  ymin_adj = 0,
  instructions = NULL,
  cores = NA,
  verbose = TRUE
)
Arguments
visium_dir	
path to the 10X visium directory [required]

expr_data	
raw or filtered data (see details)

gene_column_index	
which column index to select (see details)

h5_visium_path	
path to visium 10X .h5 file

h5_gene_ids	
gene names as symbols (default) or ensemble gene ids

h5_tissue_positions_path	
path to tissue locations (.csv file)

h5_image_png_path	
path to tissue .png file (optional)

png_name	
select name of png to use (see details)

xmax_adj	
adjustment of the maximum x-value to align the image

xmin_adj	
adjustment of the minimum x-value to align the image

ymax_adj	
adjustment of the maximum y-value to align the image

ymin_adj	
adjustment of the minimum y-value to align the image

instructions	
list of instructions or output result from createGiottoInstructions

cores	
how many cores or threads to use to read data if paths are provided

verbose	
be verbose

Value
giotto object

Details
If starting from a Visium 10X directory:

expr_data: raw will take expression data from raw_feature_bc_matrix and filter from filtered_feature_bc_matrix

gene_column_index: which gene identifiers (names) to use if there are multiple columns (e.g. ensemble and gene symbol)

png_name: by default the first png will be selected, provide the png name to override this (e.g. myimage.png)

If starting from a Visium 10X .h5 file

h5_visium_path: full path to .h5 file: /your/path/to/visium_file.h5

h5_tissue_positions_path: full path to spatial locations file: /you/path/to/tissue_positions_list.csv

h5_image_png_path: full path to png: /your/path/to/images/tissue_lowres_image.png

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