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| Leonardo Varuzza; Arthur Gruber; Carlos A. B. Pereira. |
| Most of the statistical tests currently used to detect differentially expressed genes are based on asymptotic results, and perform poorly for low expression tags. Another problem is the common use of a single canonical cutoff for the significance level (p-value) of all the tags, without taking into consideration the type II error and the highly variable character of the sample size of the tags.

 This work reports the development of two significance tests for the comparison of digital expression profiles, based on frequentist and Bayesian points of view, respectively. Both tests are exact, and do not use any asymptotic considerations, thus producing more correct results for low frequency tags than the chi-square test. The... |
| Tipo: Manuscript |
Palavras-chave: Genetics & Genomics; Bioinformatics. |
| Ano: 2008 |
URL: http://precedings.nature.com/documents/2002/version/3 |
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| Leonardo Varuzza; Arthur Gruber; Carlos A. B. Pereira. |
| Most of the statistical tests currently used to detect differentially expressed genes are based on asymptotic results, and perform poorly for low expression tags. Another problem is the common use of a single canonical cutoff for the significance level (p-value) of all the tags, without taking into consideration the type II error and the highly variable character of the sample size of the tags.

 This work reports the development of two significance tests for the comparison of digital expression profiles, based on frequentist and Bayesian points of view, respectively. Both tests are exact, and do not use any asymptotic considerations, thus producing more correct results for low frequency tags than the chi-square test. The... |
| Tipo: Manuscript |
Palavras-chave: Developmental Biology; Bioinformatics. |
| Ano: 2008 |
URL: http://precedings.nature.com/documents/2002/version/2 |
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