I would like to know what types of graphs are commonly used when wanting to visualize data on lectin microarrays and glycans. The goal is to compare samples from patients with lung cancer and without cancer.
There are a lot of possibilities to show significant differently exprimed genes in microarray data (it is totally independent of kind of analyzed mRNAs). First you have to find them, after that you could use clustering tools (different types available), showing you if there are really differences between groups of patients and healthy donors (e.g.) in the list of your analyzed genes. Another possibility is principal component analyses (PCA) showing you how far away are both (or more) groups of genes (or samples/conditions) are separated from each other. MvA plots are a different kind of possible figures, the confidence intervals or volcano plots, all these possibilities shown in: https://www.researchgate.net/publication/350451617 on cancer chip data compared with healthy people.
Nevertheless there are a lot of much more used figures as you could find in bioinformatics literature of microarray or NGS data.
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