The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires

Autor: Chakravarthi Kanduri, Alexandre Almeida Costa, Eivind Hovig, Antonio Martini, Michael Widrich, Ghadi S. Al Hajj, Ingrid Hobæk Haff, Ivar Grytten, Radmila Kompova, Andrei Slabodkin, Cédric R. Weber, Ludvig M. Sollid, Gabriel Balaban, Knut Dagestad Rand, Fabian L. M. Bernal, Victor Greiff, Gur Yaari, Marieke L. Kuijjer, Artur Rocha, Enrico Riccardi, Knut Waagan, Brian Corrie, Igor Snapkov, Lonneke Scheffer, Nikolay Vazov, Milena Pavlović, Robert Frank, Dmytro Titov, Maria Chernigovskaya, Johan Pensar, Rahmad Akbar, Todd M. Brusko, Scott Christley, Keshav Motwani, Geir Kjetil Sandve, Philippe Robert, Thomas Minotto, Ping-Han Hsieh, Sveinung Gundersen, Christin Lund-Andersen, Lindsay G. Cowell, Günter Klambauer

Publikováno v: Nat Mach Intell

Adaptive immune receptor repertoires (AIRR) are key targets for biomedical research as they record past and ongoing adaptive immune responses. The capacity of machine learning (ML) to identify complex discriminative sequence patterns renders it an id

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65225dec4d5ad9e94648449a645b13a2
https://europepmc.org/articles/PMC10312379/

Neck pain patterns and subgrouping based on weekly SMS-derived trajectories

Autor: Alice Kongsted, Nina K. Vøllestad, Birgitte Lawaetz Myhrvold, Hilde Stendal Robinson, Kaia Beck Engebretsen, Knut Waagan, Pernille Marie Irgens, Bård Natvig

Publikováno v: BMC Musculoskeletal Disorders
BMC Musculoskeletal Disorders, Vol 21, Iss 1, Pp 1-14 (2020)
Irgens, P, Kongsted, A, Myhrvold, B L, Waagan, K, Engebretsen, K B, Natvig, B, Vøllestad, N K & Robinson, H S 2020, ' Neck pain patterns and subgrouping based on weekly SMS-derived trajectories ', BMC Musculoskeletal Disorders, vol. 21, no. 1, 678 . https://doi.org/10.1186/s12891-020-03660-0

Background Neck and low back pain represent dynamic conditions that change over time, often with an initial improvement after the onset of a new episode, followed by flare-ups or variations in intensity. Pain trajectories were previously defined base

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9fdde0766a85a40068aee60306ce5ae
http://europepmc.org/articles/PMC7559200

CONVERGENCE RATE OF MONOTONE NUMERICAL SCHEMES FOR HAMILTON-JACOBI EQUATIONS WITH WEAK BOUNDARY CONDITIONS.

Autor: Knut Waagan¹ knut.waagan@cma.uio.no

Publikováno v: SIAM Journal on Numerical Analysis. 2008, Vol. 46 Issue 5, p2371-2392. 22p. 1 Chart, 4 Graphs.

Adaptive Spectral Viscosity for Hyperbolic Conservation Laws

Autor: Eitan Tadmor, Knut Waagan

Publikováno v: SIAM Journal on Scientific Computing. 34:A993-A1009

Spectral approximations to nonlinear hyperbolic conservation laws require dissipative regularization for stability. The dissipative mechanism must, on the other hand, be small enough in order to retain the spectral accuracy in regions where the solut

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::74e8898305a99a080d8cf28486566bee
https://doi.org/10.1137/110836456

High order well-balanced finite volume schemes for simulating wave propagation in stratified magnetic atmospheres

Autor: Knut Waagan, Nils Henrik Risebro, Andrew D. McMurry, Siddhartha Mishra, Franz G. Fuchs

Publikováno v: Journal of Computational Physics. 229:4033-4058

Wave propagation in idealized stellar atmospheres is modeled by the equations of ideal MHD, together with the gravity source term. The waves are modeled as small perturbations of isothermal steady states of the system. We consider a formulation of id

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::83fa594c8efcd07ce2842e3c4e447d42
https://doi.org/10.1016/j.jcp.2010.01.038