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Andreas Hellander

6PUBLICATIONS

23CO-AUTHORS

Statistical and quantitative geneticsLife historiesBiological network analysisAdversarial machine learningDeep learning

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Publications (6)

Sort by Publication Date:

|Dec 15, 2022

Systematic comparison of modeling fidelity levels and parameter inference settings applied to negative feedback gene regulation.

Adrien Coulier, Prashant Singh, Marc Sturrock

|Apr 05, 2022

Living in darkness: Exploring adaptation of Proteus anguinus in 3 dimensions by X-ray imaging.

Markéta Tesařová, Lucia Mancini, Edgardo Mauri

|Jan 31, 2022

Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods.

Richard Jiang, Prashant Singh, Fredrik Wrede

|May 31, 2021

The machine learning life cycle and the cloud: implications for drug discovery.

Ola Spjuth, Jens Frid, Andreas Hellander

|May 05, 2021

Deep-learning models for lipid nanoparticle-based drug delivery.

Philip J Harrison, Håkan Wieslander, Alan Sabirsh

|Oct 07, 2020

Impact of Force Function Formulations on the Numerical Simulation of Centre-Based Models.

Sonja Mathias, Adrien Coulier, Anass Bouchnita

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Frequent Collaborators

2 joint publications

Anass Bouchnita

2 joint publications

Ola Spjuth

2 joint publications

Prashant Singh

1 joint publications

Sonja Mathias

1 joint publications

Philip J Harrison

1 joint publications

Håkan Wieslander

1 joint publications

Alan Sabirsh

1 joint publications

Johan Karlsson

1 joint publications

Victor Malmsjö

1 joint publications

Carolina Wählby

Frequent Collaborators

2 joint publications

Anass Bouchnita

2 joint publications

Ola Spjuth

2 joint publications

Prashant Singh

1 joint publications

Sonja Mathias

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