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A complete guide for analyzing bulk RNA-seq data. Go from raw FASTQ files to mapping reads using STAR and differential gene expression analysis using DESeq2, using example data from Guo et al. 2019.
A guide for analyzing single-cell RNA-seq data using the R package Seurat. Go from raw data to cell clustering, identifying cell types, custom visualizations, and group-wise analysis of tumor infil…
Use Python to scrape ESPN for stats on all players in the NBA. Obtain and organize data, calculate statistics, and model using urllib, re, pandas, and scikit-learn.
A guide on how to find and download raw RNA-seq data from GEO. Batch download FASTQ files using a Python script and the NCBI SRA tools prefetch and fastq-dump.
A walkthrough of Hadley Wickham and Garrett Grolemund's book, R for data science (r4ds), with my solutions to their exercises and some of my own notes and data explorations.