inst/extdata/about.md
In markrobinsonuzh/iCOBRA: Comparison and Visualization of Ranking and Assignment Methods
About iCOBRA
iCOBRA was developed in the group of Mark Robinson at
the Institute for Molecular Life Sciences of the
University of Zurich.
Developers
Charlotte Soneson email
Mark Robinson email
Instruction video
An instruction video is available on
YouTube
Benchmarking data sets
We have collected a set of benchmarking data sets, each
consisting of (raw and/or processed) data and the true status
for each feature. The collection contains benchmarking data sets
for both statistical inference (differential isoform usage,
differential gene expression) and target value estimation
(transcript abundance estimation), and can be reached
here.
Code
All code for iCOBRA is available on
GitHub and via Bioconductor.
Citation
C Soneson & MD Robinson: iCOBRA: open, reproducible, standardized and live method benchmarking. Nature Methods 13:283 (2016).
markrobinsonuzh/iCOBRA documentation built on Jan. 1, 2025, 11:06 p.m.
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.
About iCOBRA
iCOBRA was developed in the group of Mark Robinson at
the Institute for Molecular Life Sciences of the
University of Zurich.
Developers
Charlotte Soneson email
Mark Robinson email
Instruction video
An instruction video is available on YouTube
Benchmarking data sets
We have collected a set of benchmarking data sets, each consisting of (raw and/or processed) data and the true status for each feature. The collection contains benchmarking data sets for both statistical inference (differential isoform usage, differential gene expression) and target value estimation (transcript abundance estimation), and can be reached here.
Code
All code for iCOBRA is available on
GitHub and via Bioconductor.
Citation
C Soneson & MD Robinson: iCOBRA: open, reproducible, standardized and live method benchmarking. Nature Methods 13:283 (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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