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These files include the source code and related annotation and pathway data files that can be used to run iDEP (http://ge-lab.org/idep) locally. These files are current as of October 10, 2018, just before the publication of the paper on BMC Bioinformatics. The most recent version of source code can be found here: https://github.com/iDEP-SDSU/idep/. Note that all files need to be unzipped to the same folder and this line in server.R needs to be changed accordingly: # relative path to data files datapath = "../" For questions, please contact us http://ge-lab.org or https://twitter.com/StevenXGe
This is in support of our paper published in BMC Bioinformatics 2018: iDEP: an integrated web application for differential expression and pathway analysis of RNA-Seq data Steven Xijin Ge1,*, Eun Wo Son1, and Runan Yao1
iDEP, pathway analysis, differential gene expression, RNA-Seq
iDEP, pathway analysis, differential gene expression, RNA-Seq
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 83 | |
| downloads | 28 |

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