rvida034 wrote:Hi Samantha:
Could you please provide the Bayesian Network for the GEO DataSet series GSE141593 for only the 6-week old mice so that I may interpret it?
The genes of focus are as follows: SLC30A1, SLC30A2, SLC30A3, SLC30A4, SLC30A5, SLC30A6, SLC30A7, SLC30A8, SLC30A9, SLC39A1, SLC39A2, SLC39A3, SLC39A4, SLC39A5, SLC39A6, SLC39A7, SLC39A8, SLC39A9, SLC39A10, SLC39A11, SLC39A12, SLC39A13, SLC39A14, MTF1, MT1, MT2, MT3, and MT4.
Please let me know if you have any questions. Thank you so much!
Rebecca, I understand that Samantha has provided you with instructions for RNAseq data and Bayesian Networks analyses using R. Samantha will share these instructions in the "Manuscripts & Documentation" section, specifically under "Implemented Classes/Modules/Programs Documentation" titled "
How to run scripts/programs." There, please click "
Bayesian Network Analysis using R package bnlearn". Rebecca, please review the instructions and post there any challenges you encounter while following the steps. If you want to learn more about bnlearn, there is a separate forum created at Board index ‹ Manuscripts & Documentation ‹ Useful Tools for Statistical Analyses ‹
R package for Bayesian network structure learning (BNlearn).
If you prefer to use tools other than R, there are alternative tools available, e.g.,
Galaxy,
Genie,
Banjo, etc.. The goal is for you to comprehend the process so you can document and publish the results. Samantha, for the time being, could you conduct the analyses and share the results here?
Best,