• Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
Principal Investigator  
Principal Investigator's Name: Takis Benos
Institution: University of Pittsburgh
Department: Computattional and Systems Biology
Proposed Analysis: We are developing graph learning methods for the analysis of mixed data (continuous and discrete variables). Our algorithm, CausalMGM, has been successfully applied to various clinical problems (see references below). We have recently extended our framework to incorporate image data and we would like to a test its applicability to the ADNI dataset. References A. METHODOLOGY Learning undirected graphs with mixed data (MGM) Sedgewick et al, 2016, BMC Bioinformatics https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-016-1039-0 Learning directed graphs with mixed data (CausalMGM) Sedgewick et al, 2019, Bioinformatics https://academic.oup.com/bioinformatics/article-abstract/35/7/1204/5091182?redirectedFrom=fulltext Learning directed graphs with mixed data and latent confounders (MGM-FCI-MAX) Raghu et al, 2018, Int J Data Sci and Analytics https://link.springer.com/content/pdf/10.1007%2Fs41060-018-0104-3.pdf Incorporating priors in graph learning (piMGM) Manatakis, Raghu, Benos, 2018, Bioinformatics https://academic.oup.com/bioinformatics/article/34/17/i848/5093235 B. MEDICAL APPLICATIONS Identifying microbiome and clinical factors directly linked to pneumonia in ICU patients Kitsios et al, 2018, Frontiers in Microbiology https://www.frontiersin.org/articles/10.3389/fmicb.2018.01413/pdf Predicting cancer status of indeterminate nodules from low-dose CT scan data and clinical variables Raghu, (...), Benos(*), Wilson, 2019, Thorax https://thorax.bmj.com/content/thoraxjnl/early/2019/03/12/thoraxjnl-2018-212638.full.pdf Identify biomarkers (a PARP1 SNP) highly predictive of non-response to chemotherapy in cancer patients Abecassis, Sedgewick, (...), Benos, Tawbi, 2019, Scientific Reports https://www.nature.com/articles/s41598-019-39542-2.pdf Identify baseline factors that are directly linked to FEV1 longitudinal decline in COPD patients Sedgewick, (...), Benos, 2018, Bioinformatics https://academic.oup.com/bioinformatics/advance-article-abstract/doi/10.1093/bioinformatics/bty769/5091182?redirectedFrom=fulltext Predictive gene expression signatures of statin sensitivity in cancer cell lines Raghu, (...), Benos, Oltvai, 2018, Biochem Biophys Res Commun https://www.sciencedirect.com/science/article/pii/S0006291X1732243X
Additional Investigators