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Old 01-26-2014, 12:19 PM   #1
hyates
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Location: Kansas City

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Default Inquiry: Educational Resources for Data Simulation in R for DE Analysis

Greetings,

I am studying NGS algorithms such as baySeq, edgeR, DESeq, and many more. I am also studying the R language and learning how to write scripts and using bioconductor. I currently can write scripts for randomly generated count data for pairwise comparison. I can also produce basic adjusted p-values for this data for the algorithms given above in R.

My question is simple as is as follows. Can anyone recommend any educational resources for data simulation in R and producing ROC curve diagrams? I want to be able to reproduce some of the findings I am reading in papers in R for my own understanding.

I am aware of this package in R(http://bcf.isb-sib.ch/data/compcodeR/) that can do this almost automatically, but in order to duplicate results in papers, I think it is much more robust to be able to do data simulations and diagrams manually.

Thanks for your time.
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Old 01-27-2014, 03:27 AM   #2
TiborNagy
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You can make some courses in Coursera:
https://www.coursera.org/course/compdata
https://www.coursera.org/course/statistics
I do not know which one show how you can produce ROC curves, but these cover the data simulation.
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Old 02-11-2014, 11:44 AM   #3
hyates
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I appreciate the reply. Thank you!
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data simulation, differential expression, learning, programming

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