TY - JOUR
T1 - EPEPT
T2 - A web service for enhanced P-value estimation in permutation tests
AU - Knijnenburg, Theo A.
AU - Lin, Jake
AU - Rovira, Hector
AU - Boyle, John
AU - Shmulevich, Ilya
N1 - Funding Information:
Funding: This work was supported by the National Institutes of Health grant GM072855 [TAK and IS] and grant P50 GM076547 [IS]; the National Institute of Allergy and Infectious Diseases contract HHSN272200700038C [HR and JB]; and the National Cancer Institute grant R01 R01-1CA1374422 [JL and JB].
PY - 2011/10/24
Y1 - 2011/10/24
N2 - Background: In computational biology, permutation tests have become a widely used tool to assess the statistical significance of an event under investigation. However, the common way of computing the P-value, which expresses the statistical significance, requires a very large number of permutations when small (and thus interesting) P-values are to be accurately estimated. This is computationally expensive and often infeasible. Recently, we proposed an alternative estimator, which requires far fewer permutations compared to the standard empirical approach while still reliably estimating small P-values 1.Results: The proposed P-value estimator has been enriched with additional functionalities and is made available to the general community through a public website and web service, called EPEPT. This means that the EPEPT routines can be accessed not only via a website, but also programmatically using any programming language that can interact with the web. Examples of web service clients in multiple programming languages can be downloaded. Additionally, EPEPT accepts data of various common experiment types used in computational biology. For these experiment types EPEPT first computes the permutation values and then performs the P-value estimation. Finally, the source code of EPEPT can be downloaded.Conclusions: Different types of users, such as biologists, bioinformaticians and software engineers, can use the method in an appropriate and simple way.
AB - Background: In computational biology, permutation tests have become a widely used tool to assess the statistical significance of an event under investigation. However, the common way of computing the P-value, which expresses the statistical significance, requires a very large number of permutations when small (and thus interesting) P-values are to be accurately estimated. This is computationally expensive and often infeasible. Recently, we proposed an alternative estimator, which requires far fewer permutations compared to the standard empirical approach while still reliably estimating small P-values 1.Results: The proposed P-value estimator has been enriched with additional functionalities and is made available to the general community through a public website and web service, called EPEPT. This means that the EPEPT routines can be accessed not only via a website, but also programmatically using any programming language that can interact with the web. Examples of web service clients in multiple programming languages can be downloaded. Additionally, EPEPT accepts data of various common experiment types used in computational biology. For these experiment types EPEPT first computes the permutation values and then performs the P-value estimation. Finally, the source code of EPEPT can be downloaded.Conclusions: Different types of users, such as biologists, bioinformaticians and software engineers, can use the method in an appropriate and simple way.
UR - https://www.scopus.com/pages/publications/83755162646
U2 - 10.1186/1471-2105-12-411
DO - 10.1186/1471-2105-12-411
M3 - Article
C2 - 22024252
AN - SCOPUS:83755162646
SN - 1471-2105
VL - 12
JO - BMC Bioinformatics
JF - BMC Bioinformatics
M1 - 411
ER -