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Connection

Yoav Gilad to Single-Cell Analysis

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

1.810
  1. Characterizing and inferring quantitative cell cycle phase in single-cell RNA-seq data analysis. Genome Res. 2020 04; 30(4):611-621.
    View in: PubMed
    Score: 0.624
  2. Batch effects and the effective design of single-cell gene expression studies. Sci Rep. 2017 01 03; 7:39921.
    View in: PubMed
    Score: 0.496
  3. Cell type and dynamic state govern genetic regulation of gene expression in heterogeneous differentiating cultures. Cell Genom. 2024 Dec 11; 4(12):100701.
    View in: PubMed
    Score: 0.215
  4. Single-cell sequencing reveals lineage-specific dynamic genetic regulation of gene expression during human cardiomyocyte differentiation. PLoS Genet. 2022 01; 18(1):e1009666.
    View in: PubMed
    Score: 0.176
  5. Systematic Comparison of High-throughput Single-Cell and Single-Nucleus Transcriptomes during Cardiomyocyte Differentiation. Sci Rep. 2020 01 30; 10(1):1535.
    View in: PubMed
    Score: 0.154
  6. Discovery and characterization of variance QTLs in human induced pluripotent stem cells. PLoS Genet. 2019 04; 15(4):e1008045.
    View in: PubMed
    Score: 0.145
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.