I'm a classically trained biologist who learned programming and statistics thereafter. I am now a hybrid who solves problems utilizing both skill sets.
knn_sleepwalk. A wrapper around the sleepwalk package that allows for interactive knn visualizations of an embedding.
23KnnSleepwalk. R package that allows for visualization of the KNN of an embedding compared to the KNN of the original high-dimensional data.
21llm_single_cell_annotation. Annotate your single-cell data using a LLM directly within your R pipeline
8cluster_stability. Some helper functions to visualize the stability of a clustering method for your single-cell data.
3Sconify. Group CyTOF data into overlapping k-nearest neighborhoods for enhanced single-cell visualizations.
3twitter-mining-scilit. Mining automated paper-posting bots from twitter, especially useful to determine which pre-prints are being talked about.
2dimr_run_multiple_times. HTML
1dimr_spectrum_single_cell. View a spectrum of dimensionality reduction embeddings for your single-cell data ranging from t-SNE like to UMAP like
1tweet_table. Create searchable and sortable tables of the tweet histories of your favorite twitter users.
1umap-for-cytof. My early solution to running UMAP on your flow and mass cytometry data and compare it with t-SNE. Now I use the umap package in CRAN.
1claude-cytof-gating. Manual gating experiment with Claude Code and the Samusik dataset
1