Скачать с ютуб Live R Coding Session - single cell spatial transcriptomics data visualization in base R в хорошем качестве

Live R Coding Session - single cell spatial transcriptomics data visualization in base R

I record myself coding in the R programming language to perform an exploratory bioinformatics analysis of single cell resolution spatial transcriptomics data in (almost entirely) base R ie. without reliance on additional external packages. This is in preparation for my upcoming Genomic Data Visualization course to help ensure that what I'll be asking students to do is indeed feasible. Some potentially helpful moments: - Course background:    • Live R Coding Session - single cell s...   - Simple visualizations and QC:    • Live R Coding Session - single cell s...   - Dimensionality reduction with PCA:    • Live R Coding Session - single cell s...   - Mapping numbers to colors:    • Live R Coding Session - single cell s...   - Dimensionality reduction with t-SNE:    • Live R Coding Session - single cell s...   - Debugging 'duplicates' for dimensionality reduction with t-SNE:    • Live R Coding Session - single cell s...   - K-means clustering:    • Live R Coding Session - single cell s...   - Differential expression analysis:    • Live R Coding Session - single cell s...   To try it out for yourself, check out: - Code from this coding session: https://github.com/JEFworks/coding_vi... Other resources: - Syllabus and notes from last year's Genomic Data Visualizations course: https://jef.works/genomic-data-visual...