***************************************************************************** * EvoBIO 2018 - Evolutionary Computation, Machine Learning and Data * Mining for Biology and Medicine * Parma, Italy, 4-6 April 2018 * A track of EvoApplications, part of Evo* 2018 (http://www.evostar.org) * * Extended submission Deadline: *10th of November 2017* ***************************************************************************** * Aims and scope Join us in Parma for EvoBIO, a multidisciplinary track that brings together researchers working in Bioinformatics, Medical Applications and Computational Biology that apply advanced techniques coming from Evolutionary Computation, Machine Learning, and Data Mining to address important problems in medical applications and biology, from the molecular and genomic dimension, to the individual and population level. As part of EvoApplications, this year EvoBIO is accepting two kinds of submission: full papers and short papers. Full papers require novel and complete research work and have a limit of 16 pages. Short papers should present complete research or interesting preliminary results and have a limit of 8 pages. Both types of submission will undergo the same double blind review process and all accepted papers will be included in the LNCS proceedings. Based on reviewers’ assessment, accepted full papers will be presented as full length talks, and authors of accepted short papers will present a short talk as well as present a poster. All authors of accepted papers will be given the opportunity to further disseminate their work in poster sessions. Authors of selected publications will be invited to submit an extended version of their work to Springer's Genetic Programming and Evolvable Machines (GPEM, impact factor: 1.514, fast track review process). Possible topics of interest include, but are not limited to: - Medical imaging, signal processing and text analysis - Data mining medical data and records - Clinical expert systems - Modelling and simulation of medical processes - Drug description analysis - Patient-centric care - Interpreting genomic or metagenomic data - Discovering regulatory or expression pathways - Rational drug design and personalized medicine - Modeling ecosystems or population dynamics - Discovering genome-disease or genome-phenotype associations - Biomedical text/data mining and visualization - Network biology/medicine - Omics data analysis and functional genomics for complex diseases - Gene-gene interactions and gene-environment interactions for disease association analysis - Protein Structure Prediction - Assembling next generation sequence data For more information, visit our web page at http://www.evostar.org/2018/, or follow us on Twitter @EVOBio2018 or email to evobio.conference(at)gmail.com * Important dates - Submission Deadline: 10 November 2017 - Notification: 3 January 2018 - Camera-ready: 15 January 2018 - EvoStar dates: 4-6 April 2018 * Submission Details Submissions must be original and not published elsewhere. They will be peer reviewed by at least three members of the program committee. The reviewing process will be double-blind, so please omit information about the authors in the submitted paper. Submit your manuscript in Springer LNCS format (limit of 8 pages for short papers or 16 pages for full papers). Please provide up to five keywords in your Abstract Submission link: https://myreview.saclay.inria.fr/evoapps18/ * EvoBIO Programme Chairs - Jaume Bacardit, Newcastle University, Newcastle, UK jaume.bacardit(at)newcastle.ac.uk - Federico Divina, Universidad Pablo de Olavide, Sevilla, Spain fdivina(at)upo.es -- ------------------------------------------------------------------- Jaume Bacardit, PhD Reader in Machine Learning Newcastle University The Interdisciplinary Computing and Complex BioSystems research group. Web: http://www.ico2s.org/ Twitter: @ico2s School of Computing, Newcastle University. Newcastle-upon-Tyne, United Kingdom Email: jaume _dot_ bacardit _at_ newcastle.ac.uk _dot_ ac _dot_ uk Web: http://homepages.cs.ncl.ac.uk/jaume.bacardit Twitter: @jaumebp --------------------------------------------------------------------