Unsupervised Topological Alignment for Single-Cell Multi-Omics Integration

@article{Cao2020UnsupervisedTA,
  title={Unsupervised Topological Alignment for Single-Cell Multi-Omics Integration},
  author={Kai Cao and Xiangqi Bai and Y. Hong and Lin Wan},
  journal={bioRxiv},
  year={2020}
}
  • Kai Cao, Xiangqi Bai, +1 author Lin Wan
  • Published 2020
  • Computer Science, Biology
  • bioRxiv
    • Single-cell multi-omics data provide a comprehensive molecular view of cells. However, single-cell multi-omics datasets consist of unpaired cells measured with distinct unmatched features across modalities, making data integration challenging. In this study, we present a novel algorithm, termed UnionCom, for the unsupervised topological alignment of single-cell multi-omics integration. UnionCom does not require any correspondence information, either among cells or among features. It first… CONTINUE READING
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    Supplemental Code

    Github Repo
    caokai1073/UnionCom
    The Software of UnionCom Algorithm
    12 Stars • 5 Forks

    Paper Mentions

    Blog Post
    La Biblioteca di Babele.
    lens, align.
    16 February 2020
    10 Citations
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