Hello, I need help getting my data into Bioconductor and comparing differential gene expression (from a microarray) using several packages. I'm looking for someone that could tutor me (paid), via Skype or similar. I do not have access to any courses or other people using R, and although I've taught myself the basics, I'm stuck when it comes to the actual analyses and getting the data formatted and loaded into Bioconductor packages. Can anyone help, someone who has experience with these analyses? My data is all GeneSpring outputs, normalised expression values. Looking to find KEGG annotations for pathway analysis using R/GAGE, esset.grp to find significant pathways and essgene functions in GAGE to find non-redundant pathways. Also using ggplot2, but I could probably figure out that myself once I have the required initial outputs.
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The immune system’s power comes from its genetic diversity, allowing myriad threats to be neutralized through first recognizing foreign antigens. That diversity is also what makes the immune system so difficult to study. Recent advances in sequencing technology and computational biology, however, are giving researchers new tools to understand immune responses and immune-related diseases in greater detail.
This convergence of genetics, immunology, and computation...09-01-2026, 05:41 AM
