The paper “Biclustering fMRI time series: a comparative study”, authored by LASIGE’s PhD student Eduardo N. Castanho was published in the BMC Bioinformatics Journal, a high ranked journal in the field of bioinformatics (h-index of 218, Scimago Q1), in May. The paper was co-authored by LASIGE’s researchers Helena Aidos and Sara C. Madeira.

This work evaluates the potential use of biclustering in fMRI time series data by comparing seven state-in-the-art biclustering and three traditional clustering algorithms on artificial and real fMRI time series. It further proposes a methodology for biclustering evaluation beyond gene expression data analysis. The proposed evaluation methodology showed evidence of the effectiveness of biclustering in finding local patterns in fMRI time series data, in particular the superiority of exhaustive biclustering approaches. This work pinpoints avenues for the use of biclustering in spatio-temporal data analysis, in particular neurosciences applications.

The article is available here.