How to use R packages to identify differentially expressed genes for a Coursework

How to use R packages to identify differentially expressed genes for a historical data set - Coursework ExampleThe data were classified according to the gene expressions before and after industriousness of the drug on patients.However, owing to time constraints, some important operations that would have allowed the analysis to troop more of its features were left out. For example the arrays were given a summative test at every aim that is t-tests, ebayes and samr. The arrays would have exhibited more underlying relations if the individual cases were matched against their resultant gene expressions after the administration of the drug.The columns could or else have been split up in pairs to come up with several individual files that would allow the act of singular tests on individual files, thereby making the results even more focused. The only weakness of this nest is the need to further recombine the individual results from the tests, but which can not be addressed by the use of the combined arrays.With more time the tests would also have been described under varying p-values. By varying the p-value, it is possible to know the levels of accuracy that similar tests should be subjected to in future. This sets a crucial case law especially since same method of study will be repeated for future