Title | ||
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Super-delta: a new differential gene expression analysis procedure with robust data normalization. |
Abstract | ||
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As a new pipeline, super-delta provides new insights to the area of differential gene expression analysis. Solid theoretical foundation supports its asymptotic unbiasedness and technical noise-free properties. Implementation on real and simulated datasets demonstrates its decent performance compared with state-of-art procedures. It also has the potential of expansion to be incorporated with other data type and/or more general between-group comparison problems. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1186/s12859-017-1992-2 | BMC Bioinformatics |
Keywords | Field | DocType |
Differential expression analysis,Gene expression,Modified t-test,Robust normalization,Super-delta | Normalization (statistics),Biology,Multivariate statistics,Algorithm,Outlier,Robust statistics,Type I and type II errors,Genetics,Statistical power,Variance reduction,Statistical hypothesis testing | Journal |
Volume | Issue | ISSN |
18 | 1 | 1471-2105 |
Citations | PageRank | References |
1 | 0.48 | 11 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yuhang Liu | 1 | 2 | 1.17 |
Jinfeng Zhang | 2 | 86 | 10.11 |
Xing Qiu | 3 | 193 | 12.55 |