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Showing 1 to 2 of 2 for “"Single-Cell Foundation Models"”.

  1. Towards Network-Guided Large-Scale Foundation Models on Single-Cell Transcriptomics

    Large-scale pretrained models known as foundation models, have made breakthrough progress in the fields like NLP and computer vision. Recently, transformer-based foundation models tailored for single-cell RNA sequencing (scRNA-seq) data have shown significant potential in interpreting the …

    vt Repository record for Towards Network-Guided Large-Scale Foundation Models on Single-Cell Transcriptomics (opens in a new tab)

  2. Characterization, representation, and prediction of immune cell states using single-cell sequencing and machine learning

    … yet the high-resolution assessment of immune cell states remains a significant challenge. The advent of single-cell sequencing has revolutionized this research field by enabling the profiling of individual cellular transcriptomes. However, the resulting high-dimensional datasets are frequently …

    uthsc Repository record for Characterization, representation, and prediction of immune cell states using single-cell sequencing and machine learning (opens in a new tab)