Variance-to-mean Analysis

Variance-To-Mean Analysis is a statistical metric in gene expression studies that quantifies noise by the ratio of the variance to the mean expression level across cells, distinguishing it from other noise measures by its sensitivity to deviations from Poisson-distributed expression.

60

Publications

6.7K

Citations

155

Authors

82

Institutions

Publications per year

2017–2026

5

Variants

Fano Factor Analysis

Authors

155

  1. KH
    Kengo Hashimoto

    Kindai University, Japan

    4 publications · 60 citations

    4

    h-index

  2. YY
    Y. Yamane

    Hokkaido University, Japan

    3 publications · 96 citations

    3

    h-index

  3. YY
    Yoshihiro Yamane

    Nagoya University, Japan

    3 publications · 50 citations

    3

    h-index

  4. YK
    Yasunori Kitamura

    Nagoya University, Japan

    3 publications · 70 citations

    3

    h-index

  5. TM
    Tsuyoshi Misawa

    Kyoto University, Japan

    3 publications · 63 citations

    3

    h-index

1–5 of 155

Venues

  1. Annals of Nuclear Energy

    6 publications · 160 citations

    6

    h-index

  2. Plant Disease

    3 publications · 58 citations

    3

    h-index

  3. Journal of Nuclear Science and Technology

    JNST · 3 publications · 44 citations

    3

    h-index

  4. Parasitology

    2 publications · 80 citations

    2

    h-index

  5. Nuclear Science and Engineering

    2 publications · 56 citations

    2

    h-index

1–5