Predicting gene expression using morphological cell responses to nanotopography

Autor: Marie F. A. Cutiongco, Bjørn Sand Jensen, Paul M. Reynolds, Nikolaj Gadegaard

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)

The surface nanotopography of biomaterials direct cell behavior, but screening for desired effects is inefficient. Here, the authors introduce a platform that enables prediction of nanotopography-induced gene expression changes from changes in cell m

Externí odkaz: https://doaj.org/article/abc5b9a306914cf08639ce57a7f14882

Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: Application to planar soft tissues

Autor: Ankush Aggarwal, Bjørn Sand Jensen, Sanjay Pant, Chung-Hao Lee

Publikováno v: Aggarwal, A, Jensen, B S, Pant, S & Lee, C-H 2023, ' Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis : Application to planar soft tissues ', Computer Methods in Applied Mechanics and Engineering, vol. 404, 115812 . https://doi.org/10.1016/j.cma.2022.115812

Data-based approaches are promising alternatives to the traditional analytical constitutive models for solid mechanics. Herein, we propose a Gaussian process (GP) based constitutive modeling framework, specifically focusing on planar, hyperelastic an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a1cbd6ddc9fc4c4be303cf80582c6e1
https://cronfa.swan.ac.uk/Record/cronfa62031/Download/62031__26074__bddb17d10bb84c8dbc0531d5d52c53bc.pdf

Predicting phenotype using morphological cell responses to nanotopography

Autor: Paul M. Reynolds, Marie F.A. Cutiongco, Nikolaj Gadegaard, Bjørn Sand Jensen

Cells respond in complex ways to topographies, making it challenging to identify a direct relationship between surface topography and cell response. A key problem is the lack of informative representations of topographical parameters that translate d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9a4a37b64d6c13d23490bf47d222f63

Learning Combinations of Multiple Feature Representations for Music Emotion Prediction

Autor: Bjørn Sand Jensen, Jan Larsen, Jens Madsen

Publikováno v: ASM@ACM Multimedia
Technical University of Denmark Orbit

Music consists of several structures and patterns evolving through time which greatly influences the human decoding of higher-level cognitive aspects of music like the emotions expressed in music. For tasks, such as genre, tag and emotion recognition

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25e44147fbbe62214747b67ba22159c7
https://doi.org/10.1145/2813524.2813534

Bounded Gaussian process regression

Autor: Bjørn Sand Jensen, Jens Nielsen, Jan Larsen

Publikováno v: MLSP

We extend the Gaussian process (GP) framework for bounded regression by introducing two bounded likelihood functions that model the noise on the dependent variable explicitly. This is fundamentally different from the implicit noise assumption in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::01e844324b3676ddd519a38aaf1f9f73
https://doi.org/10.1109/mlsp.2013.6661916