https://github.com/jcaperella29/meta_analysis-on-rna_seq-data-using-metaseq
A script that performs Meta_analysis on RNA_seq data from multiple studies
https://github.com/jcaperella29/meta_analysis-on-rna_seq-data-using-metaseq
Last synced: 3 months ago
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A script that performs Meta_analysis on RNA_seq data from multiple studies
- Host: GitHub
- URL: https://github.com/jcaperella29/meta_analysis-on-rna_seq-data-using-metaseq
- Owner: jcaperella29
- Created: 2024-03-25T13:30:50.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-03-25T13:47:07.000Z (about 1 year ago)
- Last Synced: 2024-03-25T15:31:42.939Z (about 1 year ago)
- Language: R
- Size: 3.91 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Meta_Analysis-on-RNA_SEQ-data-using-Metaseq
A script that performs Meta_analysis on RNA_seq data from multiple studies
#First we import the needed libraries .We then provide information on the studies and phenotype.
#Then we read in the sample data "Breasts cancer and attach the above information.
#Note , do perform this analysis with their own data , users can provide a dataframe with the counts data from studies that they are pooling from as well as related phenotype and studies data.
#then we aquire the results of performing Onesided-NOISeq on the using "data(Result.Meta)"
#We then asssign the data to a the variable results
#Next we use the Fisher and Stouffer tests to detrimine the likehood that genes are up or down regulated with respect to the phenotype.
#Then we extract the genes most likely to up and down regulated repectively and save them as text files for futher analysis.
#Finally, we pull both of the above sets of genes togather and output that as a text files as well.