Now showing items 237-256 of 916

    • Ecological Momentary Assessment in Internet-Delivered Psychological Treatments using Wearable Technology 

      Haneborg, Jonas Øverland; Sundt, Tellev (Master thesis, 2022-06-01)
      The growing prevalence of mental health problems is a global concern. Current psychological treatments are effective for a wide range of mental health problems. Yet, treatments today fall short with regards to scalability ...
    • EDAM-bioimaging: the ontology of bioimage informatics operations, topics, data, and formats (update 2020) 

      Kalaš, Matúš; Plantard, Laure; Lindblad, Joakim; Jones, Martin; Sladoje, Nataša; Kirschmann, Moritz A.; Chessel, Anatole; Scholz, Leandro; Rössler, Fabianne; Nicolás Sáenz, Laura; Gómez de Mariscal, Estibaliz; Bogovic, John; Dufour, Alexandre; Heiligenstein, Xavier; Waithe, Dominic; Domart, Marie-Charlotte; Karreman, Matthia; Van de Plas, Raf; Haase, Robert; Hörl, David; Paavolainen, Lassi; Vrhovac Madunić, Ivana; Karaica, Dean; Muñoz-Barrutia, Arrate; Sampaio, Paula; Sage, Daniel; Munck, Sebastian; Golani, Ofra; Moore, Josh; Levet, Florian; Ison, Jon; Gaignard, Alban; Ménager, Hervé; Zhang, Chong; Miura, Kota; Colombelli, Julien; Paul-Gilloteaux, Perrine (Others, 2020)
      EDAM is a well-established ontology of operations, topics, types of data, and data formats that are used in bioinformatics and its neighbouring fields [1,2] . EDAM-bioimaging is an extension of EDAM dedicated to bioimage ...
    • EDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formats 

      Ison, Jon; Kalaš, Matúš; Jonassen, Inge; Bolser, Dan; Uludag, Mahmut; McWilliam, Hamish; Malone, James; Lopez, Rodrigo; Pettifer, Steve; Rice, Peter (Peer reviewed; Journal article, 2013)
      Motivation: Advancing the search, publication and integration of bioinformatics tools and resources demands consistent machine-understandable descriptions. A comprehensive ontology allowing such descriptions is therefore ...
    • EDAM: the bioscientific data analysis ontology (update 2021) [version 1; not peer reviewed] 

      Black, Melissa; Lamothe, Lucie; Eldakroury, Hager; Kierkegaard, Mads; Priya, Ankita; Machinda, Anne; Singh Khanduja, Uttam; Patoliya, Drashti; Rathi, Rashika; Che Nico, Tawah Peggy; Umutesi, Gloria; Blankenburg, Claudia; Op, Anita; Chieke, Precious; Babatunde, Omodolapo; Laurie, Steve; Neumann, Steffen; Schwämmle, Veit; Kuzmin, Ivan; Hunter, Chris; Karr, Jonathan; Ison, Jon; Gaignard, Alban; Brancotte, Bryan; Ménager, Hervé; Kalaš, Matúš (Others, 2021)
      EDAM [1] is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life-cycle. ...
    • EDAM: the ontology of bioinformatics operations, topics, data, and formats (update 2020) 

      Kalaš, Matúš; Ménager, Hervé; Gaignard, Alban; Schwämmle, Veit; Ison, Jon (Others, 2020)
      Project website: http://edamontology.org Source code: https://github.com/edamontology/edamontology License: CC BY-SA 4.0 EDAM is an ontology of well-established, familiar concepts that are prevalent within bioinformatics, ...
    • Editing to Eulerian Graphs 

      Dabrowski, Konrad K.; Golovach, Petr; van' t Hof, Pim; Paulusma, Daniël (Journal article; Peer reviewed, 2014)
      We investigate the problem of modifying a graph into a connected graph in which the degree of each vertex satisfies a prescribed parity constraint. Let ea, ed and vd denote the operations edge addition, edge deletion and ...
    • Efficient CRISPR-Cas9-mediated generation of knockin human pluripotent stem cells lacking undesired mutations at the targeted locus 

      Merkle, Florian T.; Neuhausser, Werner M.; Santos, David; Valen, Eivind; Gagnon, James A.; Maas, Kristi; Sandoe, Jackson; Schier, Alexander F.; Eggan, Kevin (Peer reviewed; Journal article, 2015-05)
      The CRISPR-Cas9 system has the potential to revolutionize genome editing in human pluripotent stem cells (hPSCs), but its advantages and pitfalls are still poorly understood. We systematically tested the ability of CRISPR-Cas9 ...
    • Efficient hash maps to G2 on BLS curves 

      Budroni, Alessandro; Pintore, Federico (Journal article; Peer reviewed, 2022)
      When a pairing e:G1×G2→GT, on an elliptic curve E defined over a finite field Fq, is exploited for an identity-based protocol, there is often the need to hash binary strings into G1 and G2. Traditionally, if E admits a ...
    • Efficient implementation of LowMC in HElib 

      Francis, Isabel Thevahi (Master thesis, 2018-06-19)
      LowMC is a symmetric block cipher designed for fully homomorphic encryption. This thesis focuses on Martin Albrecht’s implementation of the cipher in the FHE library HElib, and how his implementation can be improved when ...
    • Efficient Minimum Weight Vertex Cover Heuristics Using Graph Neural Networks 

      Langedal, Kenneth; Langguth, Johannes; Manne, Fredrik; Schroeder, Daniel Thilo (Journal article; Peer reviewed, 2022)
      Minimum weighted vertex cover is the NP-hard graph problem of choosing a subset of vertices incident to all edges such that the sum of the weights of the chosen vertices is minimum. Previous efforts for solving this in ...
    • Efforts towards accessible and reliable bioinformatics 

      Kalaš, Matúš (Doctoral thesis, 2015-11-19)
      The aim of the presented work was contributing to making scientific computing more accessible, reliable, and thus more efficient for researchers, primarily computational biologists and molecular biologists. Many approaches ...
    • Elastic Grid Resources using Cloud Technologies 

      Carlsen, Joachim Christoffer (Master thesis, 2014-06-02)
      A Large Ion Collider Experiment (ALICE) is one of four experiments at the Large Hadron Collider (LHC) at CERN. The detectors in the ALICE experiment produce data at a rate of 4 GB/s after being filtered and compressed ...
    • The EMBRACE web service collection 

      Pettifer, Steve; Ison, Jon; Kalaš, Matúš; Thorne, David; McDermott, Philip; Jonassen, Inge; Ali, Liaquat; Fernandez, Jose M; Rodriguez, Jose M; Pisano, David G; Blanchet, Christophe; Uludag, Mahmut; Rice, Peter; Bartaseviciute, Edita; Rapacki, Kristoffer; Hekkelman, Maarten; Sand, Olivier; Stockinger, Heinz; Clegg, Andrew B; Bongcam-Rudloff, Eric; Salzemann, Jean; Breton, Vincent; Attwood, Teresa K; Cameron, Graham; Vriend, Gert (Peer reviewed; Journal article, 2010-05-10)
      The EMBRACE (European Model for Bioinformatics Research and Community Education) web service collection is the culmination of a 5-year project that set out to investigate issues involved in developing and deploying web ...
    • Emerging Era of Biomolecular Membrane Simulations: Automated Physically-Justified Force Field Development and Quality-Evaluated Databanks 

      Antila, Hanne S.; Kav, Batuhan; Miettinen, Markus Sakari; Martinez-Seara, Hector; Jungwirth, Pavel; Ollila, O. H. Samuli (Journal article; Peer reviewed, 2022)
      Molecular simulations of biological membranes and proxies thereof are entering a new era characterized by several key aspects. Progress starts with the realization that the outcome of the simulations can only be as good ...
    • Employing Deep Learning for Fish Recognition 

      Reithaug, Adrian (Master thesis, 2018-08-21)
      Underwater imagery processing is in high demand, but the unrestricted environment makes it difficult to develop methods for analyzing it. Not only is obtaining a dataset for a single species difficult, but there are reported ...
    • Encoding and decoding of several optimal rank metric codes 

      Kadir, Wrya Karim Kadir; Li, Chunlei; Zullo, Ferdinando (Journal article; Peer reviewed, 2022)
      This paper presents encoding and decoding algorithms for several families of optimal rank metric codes whose codes are in restricted forms of symmetric, alternating and Hermitian matrices. First, we show the evaluation ...
    • Energy-scale Aware Feature Extraction for Flow Visualization 

      Pobitzer, Armin; Tutkun, Murat; Anreassen, Øyvind; Fuchs, Raphael; Peikert, Ronald; Hauser, Helwig (Peer reviewed; Journal article, 2011)
      In the visualization of flow simulation data, feature detectors often tend to result in overly rich response, making some sort of filtering or simplification necessary to convey meaningful images. In this paper we present ...
    • Enhancing Content Management in DPG 

      Pino Arevalo, Ana Gabriela (Master thesis, 2013-11-20)
      This thesis analyzes the usability aspects of PCE and implements a new Single Page Application that attempts to solve this issues
    • An Ensemble Feature Selection Framework Integrating Stability 

      Zhang, Xiaokang; Jonassen, Inge (Chapter; Peer reviewed, 2019)
      Ensemble feature selection has drawn more and more attention in recent years. There are mainly two strategies for ensemble feature selection, namely data perturbation and function perturbation. Data perturbation performs ...