{ "cells": [ { "cell_type": "markdown", "id": "a91bca46-c056-4784-8c6c-b0f5d3f33496", "metadata": { "tags": [] }, "source": [ "## Tokenizing .loom single cell RNA-seq data to rank value encoding .dataset format" ] }, { "cell_type": "code", "execution_count": null, "id": "080fdd9c-0c48-4d5d-a254-52b6c53cdf78", "metadata": {}, "outputs": [], "source": [ "from geneformer import TranscriptomeTokenizer" ] }, { "cell_type": "code", "execution_count": null, "id": "9641b146-af2c-4688-9d8a-9c570246d116", "metadata": {}, "outputs": [], "source": [ "tk = TranscriptomeTokenizer({\"cell_type\": \"cell_type\", \"organ_major\": \"organ_major\"}, nproc=4) # Dictionary of custom attributes to be added to the dataset.\n", "tk.tokenize_data(\"loom_data_directory\", \"output_directory\", \"output_prefix\")" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.11" } }, "nbformat": 4, "nbformat_minor": 5 }