CADIA-package: CADIA: Pathway enrichment analysis of genomic using Causal...
In pouryany/pathwayDisturbance: Pathway enrichment analysis of genomic using Causal Disturbance Analysis
Description
The package is designed for interpreting high-throughput experimental
data by leveraging gene interactions. Typical inputs of this program
are two lists of genes, one contains a target list from an
experiment and the other contains all the genes in the experimental
array. The output of the program is list of pathways and their
respective p-values. In the current version, the pathways are
retrieved from KEGG. If you wish to use this package in your
publication or for your project please cite the following publications:
1- P. Naderi Yeganeh and M. T. Mostafavi, "Causal Disturbance
Analysis: A Novel Graph Centrality Based Method for Pathway Enrichment
Analysis," in IEEE/ACM Transactions on Computational Biology and
Bioinformatics. doi: 10.1109/TCBB.2019.2907246
2- Naderi Yeganeh, Pourya, and M. Taghi Mostafavi. "Use of Structural
Properties of Underlying Graphs in Pathway Enrichment Analysis of
Genomic Data." In Proceedings of the 8th ACM International
Conference on Bioinformatics,Computational Biology, and
Health Informatics, pp. 279-284. ACM, 2017.
pouryany/pathwayDisturbance documentation built on Sept. 1, 2020, 12:13 a.m.
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Description
The package is designed for interpreting high-throughput experimental data by leveraging gene interactions. Typical inputs of this program are two lists of genes, one contains a target list from an experiment and the other contains all the genes in the experimental array. The output of the program is list of pathways and their respective p-values. In the current version, the pathways are retrieved from KEGG. If you wish to use this package in your publication or for your project please cite the following publications: 1- P. Naderi Yeganeh and M. T. Mostafavi, "Causal Disturbance Analysis: A Novel Graph Centrality Based Method for Pathway Enrichment Analysis," in IEEE/ACM Transactions on Computational Biology and Bioinformatics. doi: 10.1109/TCBB.2019.2907246 2- Naderi Yeganeh, Pourya, and M. Taghi Mostafavi. "Use of Structural Properties of Underlying Graphs in Pathway Enrichment Analysis of Genomic Data." In Proceedings of the 8th ACM International Conference on Bioinformatics,Computational Biology, and Health Informatics, pp. 279-284. ACM, 2017.
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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