This project presents a spatial analysis of lung cancer tissue using Scanpy, based on data from the human-lung-cancer-ffpe dataset available at 10x Genomics. It encompasses preprocessing, quality control, normalization, PCA, clustering, identification of cluster marker genes, analysis of spatially variable genes, and functional analysis. The study aims to understand the spatial distribution of gene expression within lung cancer tissues, focusing on identifying functionally significant regions and their associated genes.
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This project conducts spatial analysis on lung cancer tissue using Scanpy and data from 10x Genomics, focusing on preprocessing, quality control, and functional analysis of spatially variable genes. Insights into the molecular heterogeneity of lung cancer are uncovered, highlighting regions of interest for further research.
OrangePomeranian/Spatial_Analysis
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This project conducts spatial analysis on lung cancer tissue using Scanpy and data from 10x Genomics, focusing on preprocessing, quality control, and functional analysis of spatially variable genes. Insights into the molecular heterogeneity of lung cancer are uncovered, highlighting regions of interest for further research.
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