Perform the statistical tests to find the differentially expressed genes on both the datasets and the see the overlap. You might find novel transcripts from RNA-Seq data.
I have generated differential expression gene (DEG) lists separately for multiple OSCC (oral squamous cell carcinoma) datasets, microarray data processed with limma and RNA-Seq data …
What are some possible reasons why some trends observed in Microarray expression levels is not observed in RNA-seq. Example the difference between 2 cell types …
I have one question about the RNA-seq analysis software and pipeline. What's the best analysis software for gene differential expression? What's the difference between DESeq …
hello every one, I have a question about the difference between the design co-expression network with RNA-SEQ data and microarray data? I know that the …
Looking at RNA-seq data from CCLE (Cancer Cell Line Encyclopedia) from Broad Institute and microarray expression data from NCI-60 cell lines, there is a discrepancy …
I'm trying to look into the literature and see what's already published on integrating whole genome sequencing and RNA-seq to find variants that might affect …
Perform the statistical tests to find the differentially expressed genes on both the datasets and the see the overlap. You might find novel transcripts from RNA-Seq data.