RNA-Seq Analysis: Consensus analysis with the WGCNA package in R

Davy, Melengo Evehe Habib; Oussoumanou, Toussie

dc.contributor.author	Davy, Melengo Evehe Habib
dc.contributor.author	Oussoumanou, Toussie
dc.date.accessioned	2020-10-28T09:23:17Z
dc.date.available	2020-10-28T09:23:17Z
dc.date.issued	2019-11-15
dc.identifier.uri	http://hdl.handle.net/123456789/611
dc.description	Supervised by Mr. Tareque Mohmud Chowdhury, Assistant Professor, Dept. of CSE, IUT	en_US
dc.description.abstract	By making use of the WGCNA package in R as principal tool for experimentation, we perform a consensus analysis on two data sets containing the female mice and male mice liver expression data. Performing a consensus analysis on two data sets containing the female mice and male mice liver expression data, with the help of the weighted correlation network analysis (WGCNA) package in R, gives us the results that can be seen by observing the plots and other gures produced through the implementation of the experiment, which are joined and commented into the present document.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering, Islamic University of Technology, Gazipur, Bangladesh	en_US
dc.title	RNA-Seq Analysis: Consensus analysis with the WGCNA package in R	en_US
dc.type	Thesis	en_US