Unsupervised Learning to Find Alternatively Spliced Sites in RNAseq Data
Hi everyone! I currently have a bunch of RNAseq data (cancer and normal) which I would like to analyze to find potential splice sites that are different in the cancer and the normal datasets. I am a bit confused as to how to start this problem. I am familiar with the typical alternative splicing packages like rMATS and DEXSeq, but I am confused as to how I can extract motif/splice site enrichment from the output. Any pointers in the right direction would be greatly appreciated!
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