Objetivo 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. Ámbito científico medical and health sciencesbasic medicinepharmacology and pharmacydrug discoverymedical and health scienceshealth sciencesinflammatory diseasesmedical and health sciencesbasic medicinemedicinal chemistrymedical and health sciencesclinical medicineoncology Programa(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) Tema(s) ERC-CG-2013-PE6 - ERC Consolidator Grant - Computer Science and Informatics Convocatoria de propuestas ERC-2013-CoG Consulte otros proyectos de esta convocatoria Régimen de financiación ERC-CG - ERC Consolidator Grants Institución de acogida PANEPISTIMIO KRITIS Aportación de la UE € 1 322 000,00 Dirección UNIVERSITY CAMPUS GALLOS 74100 Rethimno Grecia Ver en el mapa Región Νησιά Αιγαίου Κρήτη Ρέθυμνο Tipo de actividad Higher or Secondary Education Establishments Contacto administrativo Eleni Karkanaki (Ms.) Investigador principal Ioannis Tsamardinos (Prof.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos Beneficiarios (2) Ordenar alfabéticamente Ordenar por aportación de la UE Ampliar todo Contraer todo PANEPISTIMIO KRITIS Grecia Aportación de la UE € 1 322 000,00 Dirección UNIVERSITY CAMPUS GALLOS 74100 Rethimno Ver en el mapa Región Νησιά Αιγαίου Κρήτη Ρέθυμνο Tipo de actividad Higher or Secondary Education Establishments Contacto administrativo Eleni Karkanaki (Ms.) Investigador principal Ioannis Tsamardinos (Prof.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos KAROLINSKA INSTITUTET Suecia Aportación de la UE € 402 000,00 Dirección Nobels Vag 5 17177 Stockholm Ver en el mapa Región Östra Sverige Stockholm Stockholms län Tipo de actividad Higher or Secondary Education Establishments Contacto administrativo Hamilton Caroline (Mrs.) Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Coste total Sin datos