Gene embeddings used in GenePT: A Simple But Hard-to-Beat Foundation Model for Genes and Cells Built From ChatGPT

These are the pulled NCBI summaries of genes, as well as the corresponding GPT-3.5 embeddings (i.e., text-embedding-ada-002) computed on the summaries. See methods details in Chen and Zou J. (2023+), and the datasets are stored in json file (summary texts) and pickle file (a dictionary of numpy arrays). Chen YT, Zou J. (2023+) GenePT: A Simple But Hard-to-Beat Foundation Model for Genes and Cells Built From ChatGPT. bioRxiv preprint: https://www.biorxiv.org/content/10.1101/2023.10.16.562533v1.