Connection

ZHANDONG LIU to Single-Cell Analysis

This is a "connection" page, showing publications ZHANDONG LIU has written about Single-Cell Analysis.
Connection Strength

1.347
  1. PRIME: a probabilistic imputation method to reduce dropout effects in single-cell RNA sequencing. Bioinformatics. 2020 07 01; 36(13):4021-4029.
    View in: PubMed
    Score: 0.587
  2. Coexpression enrichment analysis at the single-cell level reveals convergent defects in neural progenitor cells and their cell-type transitions in neurodevelopmental disorders. Genome Res. 2020 06; 30(6):835-848.
    View in: PubMed
    Score: 0.585
  3. Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss. BMC Bioinformatics. 2023 Jan 04; 24(1):5.
    View in: PubMed
    Score: 0.175
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.