Hello,

I have normalized gene expression data for 1095 patients with breast cancer
part of the data as follows
  

  

          patient 1    patient 2   patient3   patient4 patient5  patient6 
    
        AASS	80.8588	135.3218	158.7152	20.7441	187.836	126.2016	
        AATF	2012.3344	990.1661	727.4445	1498.5344	1329.6371	
        AATK	179.534	209.8278	35.4275	13.5558	99.1263	51.2694	
        ABAT	2086.3408	77.9285	600.3779	101.0147	1564.1801 1439.816	                                                                            
        ABCA11P	79.5614	91.9899	152.9806	65.3844	36.7641	85.9551	
        ABCA12	43.8556	1.0531	37.317	10.823	82.3253	4.9298	 
        ABCA13	21.9278	2.6327	0.9447	0.9019	0.672	0	

can I using this data find differentially expressed genes, what package in R can I used to get the DE genes?


once you have a clear idea of how you want to compare your groups and you did a good Google search on how to do it, this is one of my favorite tutorials from Bioconductor:

https://www.bioconductor.org/help/workflows/RNAseq123/

however, it requires some knowledge of R.

also, don't forget to look at the [BioStar Handbook][1]


  [1]: https://read.biostarhandbook.com/