Meta_St_img_unsupervised | R Documentation |
Title
Meta_St_img_unsupervised( Maskfile, imagefile, exprPath, SC_obj = NULL, spaceFile, colors = NULL, savePath, Method = "walktrap", imgMethod = "Marcov", imginitMethod = "Kmeans", Step = NULL, spot_r_min = 12, spot_r_max = 20, cluster_num = 50, maxiter = 10, sacle_score = 0.09920635, img_import = 1 )
Maskfile |
The address where the Mask file is stored. Such as "/home/data/Imginit/mask.txt". You can use no mask to generate an all 1 matrix. The more recommended approach is generate this mask file use our python code in this package. |
imagefile |
The address where the Image file is stored. Such as "/home/data/spatial/tissue_hires_image.png". |
exprPath |
The address where the RNA-seq file is stored. Such as "/home/data/filtered_feature_bc_matrix/". |
SC_obj |
If exprPath is NULL, you can also load RNA-seq use an existed Seruat object. Default is NULL. |
spaceFile |
The address where the local file of all spots is stored. Such as "spatial/tissue_positions_list.csv". |
colors |
Color bar for visualization. We will give a default color scheme if NULL. |
savePath |
The address where the results stored. |
Method |
The Network-based methods to find clusters. Default param is walktrap, |
imgMethod |
The image feather select method. Default is Marcov, Other optional: Kmeans. We will use original image feature if NULL. |
imginitMethod |
If imgMethod is Marcov, this param is to select label init method, such as "Kmeans" default or "Random". |
Step |
Control the step length of random walk for walkstrap method. |
spot_r_min |
A min window to select Image features. Default is 12. |
spot_r_max |
A max window to select Image features. Default is 20. |
cluster_num |
The number of init cluster for image. Default is 50. |
maxiter |
The number of iterations for marcov. Default is 10. |
sacle_score |
The scale to map the spots coordinate in spaceFile with image. |
img_import |
The image feature weight for feature integration. |
TIST results.
Spot_manifest_imgunsup <- Meta_St_img_unsupervised(Maskfile = Maskfile, imagefile = imagefile, spaceFile = spaceFile, exprPath = exprPath, colors = NULL, savePath = savePath, Method = "walktrap", sacle_score = sacle_score)
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