Cell-type-specific Network Inference

Cell-Type-Specific Network Inference is a regulatory network inference method that specifically reconstructs gene regulatory interactions within individual cell types by leveraging single-cell omics data to account for cellular heterogeneity.

78

Publications

4.7K

Citations

396

Authors

188

Institutions

Publications per year

2017–2026

68

Authors

396

  1. QZ
    Quan Zou

    University of Electronic Science and Technology of China, China

    3 publications · 250 citations

    3

    h-index

  2. SR
    Sushmita Roy

    University of Wisconsin–Madison, United States

    3 publications · 154 citations

    3

    h-index

  3. VK
    Vinay K. Kartha

    Harvard University, United States

    2 publications · 256 citations

    2

    h-index

  4. YH
    Yan Hu

    Harvard University, United States

    2 publications · 256 citations

    2

    h-index

  5. AE
    Andrew Earl

    Harvard University, United States

    2 publications · 256 citations

    2

    h-index

1–5 of 396

Venues

  1. Briefings in Bioinformatics

    5 publications · 225 citations

    6

    h-index

  2. PLoS Computational Biology

    6 publications · 272 citations

    6

    h-index

  3. Bioinformatics

    6 publications · 182 citations

    6

    h-index

  4. Nature Communications

    4 publications · 689 citations

    5

    h-index

  5. Nucleic Acids Research

    5 publications · 373 citations

    5

    h-index

1–5