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False discovery rates in somatic mutation studies of cancer
Lorenzo Trippa, Giovanni Parmigiani
Research output
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Contribution to journal
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Article
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peer-review
6
Scopus citations
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Dive into the research topics of 'False discovery rates in somatic mutation studies of cancer'. Together they form a unique fingerprint.
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Mathematics
False Discovery Rate
100%
Cancer
79%
Mutation
76%
Genome
42%
Gene
37%
Statistical method
37%
Scenarios
35%
Two-stage Design
26%
Multiple Testing
23%
Statistical Significance
23%
Sequencing
23%
Empirical Bayes
23%
Semiparametric Model
21%
Bayesian Model
21%
Quantify
19%
Model
18%
Target
16%
Evaluate
15%
Methodology
14%
Simulation
12%
Alternatives
11%
Context
11%
Approximation
9%
Estimate
8%
Business & Economics
Cancer
90%
Mutation
89%
Statistical Methods
50%
Gene
45%
Bayesian Model
36%
Empirical Bayes
35%
Scenarios
32%
Sequencing
28%
Statistical Significance
28%
Approximation
21%
Nature
20%
Simulation
17%
Alternatives
12%
Engineering & Materials Science
Genomics
40%
Genes
36%
Statistical methods
32%
Testing
9%