Objective Discovering the causal mechanisms of a complex system of interacting components is necessary in order to control it. Computational Causal Discovery (CD) is a field that offers the potential to discover causal relations under certain conditions from observational data alone or with a limited number of interventions/manipulations.An important, challenging biological problem that may take decades of experimental work is the induction of biological cellular pathways; pathways are informal causal models indispensable in biological research and drug design. Recent exciting advances in flow/mass cytometry biotechnology allow the generation of large-sample datasets containing measurements on single cells, thus setting the problem of pathway learning suitable for CD methods.CAUSALPATH builds upon and further advances recent breakthrough developments in CD methods to enable the induction of biological pathways from cytometry and other omics data. As a testbed problem we focus on the differentiation of human T-cells; these are involved in autoimmune and inflammatory diseases, as well as cancer and thus, are targets of new drug development for a range of chronic diseases. The biological problem acts as our campus for general novel formalisms, practical algorithms, and useful tools development, pointing to fundamental CD problems: presence of feedback cycles, presence of latent confounding variables, CD from time-course data, Integrative Causal Analysis (INCA) of heterogeneous datasets and others.Three features complement CAUSALPATH’s approach: (A) methods development will co-evolve with biological wet-lab experiments periodically testing the algorithmic postulates, (B) Open-source tools will be developed for the non-expert, and (C) Commercial exploitation of the results will be sought out.CAUSALPATH brings together an interdisciplinary team, committed to this vision. It builds upon the PI’s group recent important results on INCA algorithms. Fields of science medical and health sciencesbasic medicinepharmacology and pharmacydrug discoverymedical and health scienceshealth sciencesinflammatory diseasesmedical and health sciencesbasic medicinemedicinal chemistrymedical and health sciencesclinical medicineoncology Programme(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) ERC-CG-2013-PE6 - ERC Consolidator Grant - Computer Science and Informatics Call for proposal ERC-2013-CoG See other projects for this call Funding Scheme ERC-CG - ERC Consolidator Grants Host institution PANEPISTIMIO KRITIS EU contribution € 1 322 000,00 Address UNIVERSITY CAMPUS GALLOS 74100 Rethimno Greece See on map Region Νησιά Αιγαίου Κρήτη Ρέθυμνο Activity type Higher or Secondary Education Establishments Administrative Contact Eleni Karkanaki (Ms.) Principal investigator Ioannis Tsamardinos (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data Beneficiaries (2) Sort alphabetically Sort by EU Contribution Expand all Collapse all PANEPISTIMIO KRITIS Greece EU contribution € 1 322 000,00 Address UNIVERSITY CAMPUS GALLOS 74100 Rethimno See on map Region Νησιά Αιγαίου Κρήτη Ρέθυμνο Activity type Higher or Secondary Education Establishments Administrative Contact Eleni Karkanaki (Ms.) Principal investigator Ioannis Tsamardinos (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data KAROLINSKA INSTITUTET Sweden EU contribution € 402 000,00 Address Nobels Vag 5 17177 Stockholm See on map Region Östra Sverige Stockholm Stockholms län Activity type Higher or Secondary Education Establishments Administrative Contact Hamilton Caroline (Mrs.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data