Jean Fan: Computational Tools for Spatially Resolved Transcriptomic Data Analysis

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Statistical Approaches and Computational Tools for Analyzing Spatially-Resolved Transcriptomics Data Statistical Approaches and Computational Tools for Analyzing Spatially-Resolved Transcriptomics Data
Gene count normalization in single-cell imaging-based spatially resolved transcriptomics Gene count normalization in single-cell imaging-based spatially resolved transcriptomics
Using Moran Using Moran's I to identify spatially variable genes in spatial transcriptomics data
Bioinformatics Live Coding Session - alignment of spatial transcriptomics data using STalign Bioinformatics Live Coding Session - alignment of spatial transcriptomics data using STalign
Jean Fan, PhD: “Molecular and Spatial Transcriptomic Profiling of the Brain” Jean Fan, PhD: “Molecular and Spatial Transcriptomic Profiling of the Brain”
Learn about spatially resolved transcriptomics through the highschool summer ISPEED program at JHU Learn about spatially resolved transcriptomics through the highschool summer ISPEED program at JHU
10x Visium spatial transcriptomics data analysis with STdeconvolve in R 10x Visium spatial transcriptomics data analysis with STdeconvolve in R
Summarize for a 2nd grader: Spatial transcriptome profiling by MERFISH Summarize for a 2nd grader: Spatial transcriptome profiling by MERFISH