Background: Gene expression analysis of complex and high-dimensional data, for example in
cancer studies (LHA link) or
population studies (LHA link), generates vast amounts of results, which are provided by the LHA in structured results data sets.
Problem: We performed analysis of more than 850 mature B-cell lymphomas along with healthy control samples using
oposSOM pipeline (LHA link) to provide a holistic view on their expression landscape, the heterogeneity of activated gene-regulatory programs and their association with different subtypes of this disease.
Solution: For this we implemented analysis tools addressing four major tasks as presented in this tour.