mhg: Non-parametric rank enrichment test for binary data.
In slowkow/mhg: Non-parametric rank enrichment test for binary data.
Description
Details
References
Description
This package implements a non-parametric enrichment test for
ranked binary lists. This is a general package suitable for many
applications. For example, it can be used for gene-set enrichment tests to
find enrichment for gene annotations.
Details
Run the test with mhg_test
Plot the results with plot_mhg
References
Eden, E., Lipson, D., Yogev, S. & Yakhini, Z. Discovering motifs in ranked
lists of DNA sequences. PLoS Comput. Biol. 3, e39 (2007).
http://dx.doi.org/10.1371/journal.pcbi.0030039
Wagner, F. GO-PCA: An Unsupervised Method to Explore Biological
Heterogeneity Based on Gene Expression and Prior Knowledge. bioRxiv (2015).
http://dx.doi.org/10.1101/018705
slowkow/mhg documentation built on May 30, 2019, 3:06 a.m.
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Description Details References
Description
This package implements a non-parametric enrichment test for ranked binary lists. This is a general package suitable for many applications. For example, it can be used for gene-set enrichment tests to find enrichment for gene annotations.
Details
Run the test with mhg_test
Plot the results with plot_mhg
References
Eden, E., Lipson, D., Yogev, S. & Yakhini, Z. Discovering motifs in ranked lists of DNA sequences. PLoS Comput. Biol. 3, e39 (2007). http://dx.doi.org/10.1371/journal.pcbi.0030039
Wagner, F. GO-PCA: An Unsupervised Method to Explore Biological Heterogeneity Based on Gene Expression and Prior Knowledge. bioRxiv (2015). http://dx.doi.org/10.1101/018705
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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