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.
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6.7K
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155
Authors
82
Institutions
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2017–2026
5
Variants
Fano Factor Analysis
Parents
60
Mean/Variance Analysis of Currency Overlays
Philippe Jorion · Financial Analysts Journal · 1994 · 126 citations
Business, Finance, Risk Management +17
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Nagoya University
Nagoya, Japan
6 h-index
13 publications
305 citations

Kyoto University
Kyoto, Japan
4 h-index
8 publications
145 citations
Kindai University
Osaka, Japan
4 h-index
11 publications
163 citations

Bar-Ilan University
Ramat Gan, Israel
2 h-index
5 publications
259 citations
Institute for Integrated Radiation and Nuclear Science, Kyoto University
Osaka, Japan
2 h-index
5 publications
102 citations
University of Kentucky
Lexington, United States
2 h-index
2 publications
38 citations
Columbia University
New York, United States
2 h-index
4 publications
256 citations

Icahn School of Medicine at Mount Sinai
New York, United States
2 h-index
4 publications
1.8K citations
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6 publications · 160 citations
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3 publications · 58 citations
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JNST · 3 publications · 44 citations
3
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2 publications · 80 citations
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2 publications · 56 citations
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