GPrank-package: GPrank - Gaussian Process ranking of multiple time series
In GPrank: Gaussian Process Ranking of Multiple Time Series
Description
Details
Author(s)
References
Description
GPrank package implements our Gaussian-process-based ranking method,
which can be used to rank multiple time series according to their temporal activity
levels. GPrank incorporates available variance information on the observations
into the GP models and achieves a higher performance than the standard GP-based
ranking methods.
Details
Package: GPrank
Type: Package
Version: 0.1.2
Date: 2016-12-21
License: MIT
Details regarding the usage of the package can be found in the vignette.
Author(s)
Hande Topa, Antti Honkela
Maintainer: Hande Topa hande.topa@helsinki.fi
References
Hande Topa, Agnes Jonas, Robert Kofler, Carolin Kosiol, Antti Honkela.
Gaussian process test for high-throughput sequencing time series: application to experimental evolution.
Bioinformatics 31(11):1762-1770, 2015.
Hande Topa, Antti Honkela.
Analysis of differential splicing suggests different modes of short-term splicing regulation.
Bioinformatics 32(12):i147-i155, 2016.
GPrank documentation built on May 2, 2019, 3:35 p.m.
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Description Details Author(s) References
Description
GPrank package implements our Gaussian-process-based ranking method, which can be used to rank multiple time series according to their temporal activity levels. GPrank incorporates available variance information on the observations into the GP models and achieves a higher performance than the standard GP-based ranking methods.
Details
| Package: | GPrank |
| Type: | Package |
| Version: | 0.1.2 |
| Date: | 2016-12-21 |
| License: | MIT |
Details regarding the usage of the package can be found in the vignette.
Author(s)
Hande Topa, Antti Honkela
Maintainer: Hande Topa hande.topa@helsinki.fi
References
Hande Topa, Agnes Jonas, Robert Kofler, Carolin Kosiol, Antti Honkela. Gaussian process test for high-throughput sequencing time series: application to experimental evolution. Bioinformatics 31(11):1762-1770, 2015.
Hande Topa, Antti Honkela. Analysis of differential splicing suggests different modes of short-term splicing regulation. Bioinformatics 32(12):i147-i155, 2016.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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