Single-cell Imputation

Single-Cell Imputation is a computational method designed to infer missing or dropout values in single-cell epigenomic data while preserving biological variability and technical accuracy at the individual cell level.

89

Publications

6.9K

Citations

313

Authors

133

Institutions

Publications per year

2017–2026

88

Authors

313

  1. SZ
    Shihua Zhang

    Academy of Mathematics and Systems Science, China

    4 publications · 214 citations

    4

    h-index

  2. DS
    Debarka Sengupta

    Indraprastha Institute of Information Technology Delhi, India

    3 publications · 293 citations

    3

    h-index

  3. YY
    Yuedong Yang

    Sun Yat-sen University, China

    3 publications · 139 citations

    3

    h-index

  4. LO
    Le Ou-Yang

    Shenzhen University, China

    3 publications · 144 citations

    3

    h-index

  5. AM
    Aanchal Mongia

    Indraprastha Institute of Information Technology Delhi, India

    3 publications · 293 citations

    3

    h-index

1–5 of 313

Venues

  1. Bioinformatics

    13 publications · 449 citations

    12

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 13 publications · 793 citations

    12

    h-index

  3. Briefings in Bioinformatics

    9 publications · 212 citations

    10

    h-index

  4. Genome biology

    8 publications · 1.8K citations

    8

    h-index

  5. BMC Bioinformatics

    5 publications · 481 citations

    5

    h-index

1–5