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Parallel Computing Toolbox\n2. Statistics and Machine Learning Toolbox\n\n# Dataset\nThe datasets in the turtorial are already preprocessed, download it from the following link and move it to the current directory tutorial/Dataset\n\nhttps://drive.google.com/drive/folders/1MziiMAcUQeXwX8kvKaYmmoZBkzmohrlH?usp=drive_link\n\n\nand the original dataset can be downloaded from the following link.\n### DLPFC\nhttp://spatial.libd.org/spatialLIBD/\n\n### HER2st\nhttps://github.com/almaan/her2st\n\n### Slide-seq V2 mouse hippocampus\nhttps://singlecell.broadinstitute.org/single_cell/study/SCP815/sensitive-spatial-genome-wideexpression-profiling-at-cellular-resolution#study-summary\n\n### Stereo-seq mouse olfactory bulb\nhttps://github.com/JinmiaoChenLab/SEDR_analyses\n\n\n# DLPFC\n1. cd /tutorial/wlikbc \n2. Run DLPFC_WL.py\n3. Open Matlab and run the file turtorial/KBC/DLPFC_KBC.m\n\n# HER2st\n1. cd /tutorial/wlikbc \n2. Run HER2stWL.py\n3. Open Matlab and run the file turtorial/KBC/HER2st_KBC.m\n\n# Slide-seq V2 mouse hippocampus\n1. cd /tutorial/wlikbc \n2. Run slideseqv2norwl.py\n3. Open Matlab and run the file turtorial/KBC/Slideseqv2_KBC.m\n\n# Stereo-seq mouse olfactory bulb\n1. cd /tutorial/wlikbc \n2. Run sterseqwl.py\n3. Open Matlab and run the file turtorial/KBC/sterseq_KBC.m\n4. cd /tutorial/wlikbc and run plot_stereo.py\n\n\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fisolationkernel%2Fkernel-bounded-clustering-for-spatial-transcriptomics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fisolationkernel%2Fkernel-bounded-clustering-for-spatial-transcriptomics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fisolationkernel%2Fkernel-bounded-clustering-for-spatial-transcriptomics/lists"}