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1.	Picketts, D, et al. (author) Pathogenic variants in SMARCA1 cause an X-linked neurodevelopmental disorder modulated by NURF complex composition 2023 In: Research square. Journal article (other academic/artistic)
2.	Munoz-Gil, G., et al. (author) Objective comparison of methods to decode anomalous diffusion 2021 In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 12:1 Journal article (peer-reviewed)abstract Deviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion from the measurement of an individual trajectory is a challenging task, which traditionally relies on calculating the trajectory mean squared displacement. However, this approach breaks down for cases of practical interest, e.g., short or noisy trajectories, heterogeneous behaviour, or non-ergodic processes. Recently, several new approaches have been proposed, mostly building on the ongoing machine-learning revolution. To perform an objective comparison of methods, we gathered the community and organized an open competition, the Anomalous Diffusion challenge (AnDi). Participating teams applied their algorithms to a commonly-defined dataset including diverse conditions. Although no single method performed best across all scenarios, machine-learning-based approaches achieved superior performance for all tasks. The discussion of the challenge results provides practical advice for users and a benchmark for developers. Deviations from Brownian motion leading to anomalous diffusion are ubiquitously found in transport dynamics but often difficult to characterize. Here the authors compare approaches for single trajectory analysis through an open competition, showing that machine learning methods outperform classical approaches.

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Type of publication: journal article (2)

Type of content: other academic/artistic (1); peer-reviewed (1)

Author/Editor: Kim, Y. (1); Li, D. (1); Volpe, G. (1); Ben-Omran, T (1); Kim, K. (1); Park, K (1); show more...; Ziegler, A. (1); Goldstein, A. (1); Collins, S (1); Oyama, N (1); Park, S. (1); Lewenstein, M. (1); Volpe, Giovanni, 197 ... (1); Miller, K. (1); Kvarnung, M (1); Thapa, S. (1); Argun, Aykut (1); Bo, S. O. (1); Papavasiliou, A. (1); Burton, B (1); Pang, L (1); Brusco, A (1); Yan, K (1); Hobson, E (1); Kleefstra, T (1); Manzo, C (1); Paolucci, S (1); Weckhuysen, S. (1); Cogne, B (1); Bonneau, D (1); Deb, W (1); Isidor, B (1); Miny, P (1); Carpenter, L (1); Innes, M (1); Giorgio, E (1); Jayakar, P. (1); Angle, B (1); Widera, A (1); Bontempo, K (1); Conejero, J. A. (1); Nambot, S (1); Bakhtiari, S (1); Lomholt, M. A. (1); Song, T (1); Fernandez-Jaen, A (1); Antona, V (1); Kruer, M. (1); Mirzaa, G (1); Yeh, R (1); show less...

University: University of Gothenburg (1); Karolinska Institutet (1)

Language: English (2)

Research subject (UKÄ/SCB): Natural sciences (1)

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