MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease.
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DOI: 10.1016/j.cels.2019.04.003
Abstract: Most gene expression datasets generated by individual researchers are too small to fully benefit from unsupervised machine-learning methods. In the case of rare diseases, there may be too few cases available, even when multiple studies are… read more here.
Keywords: transfer learning; rare disease; disease; multiplier transfer ... See more keywords