Systems medicine has the potential to elucidate the onset and progression of complex metabolic diseases through the use of computational approaches.
In our study published in Nature Communication, the expression of all human protein-coding genes in more than 1,000 human cell lines representing 27 cancer types was investigated using genome-wide transcriptomics analysis.
In our study published in Advanced Science, hepatic steatosis (HS) pathogenesis was deciphered using multiomics data form 56 heterogenous MAFLD patients.
Mardinoglu lab at SciLifeLab develop computational model to analyze biological data and understand the underlying biological principles in health and disease. The lab’s research focuses on systems biology and medical bioinformatics to identify biomarkers and drug targets for novel treatment strategies.
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