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Physical Biology|August 1, 2007
Transcription factor concentrations versus binding site affinities in the yeast S. cerevisiaeErik Aurell, Aymeric Fouquier d'Hérouël, Claes Malmnäs, et al.
Physical Review. E|November 18, 2022
Temporal epistasis inference from more than 3 500 000 SARS-CoV-2 genomic sequencesHong-Li Zeng, Yue Liu, Vito Dichio, et al.
In Silico Biology|April 27, 2004
Global gene expression analysis by combinatorial optimizationAdam Ameur, Erik Aurell, Mats Carlsson, et al.
Plos Computational Biology|October 10, 2014
Improving contact prediction along three dimensionsChristoph Feinauer, Marcin J Skwark, Andrea Pagnani, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 11, 2005
Global picture of self-similar and non-self-similar decay in Burgers turbulenceAlain Noullez, Sergey N Gurbatov, Erik Aurell, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 16, 2013
Improved contact prediction in proteins: using pseudolikelihoods to infer Potts modelsMagnus Ekeberg, Cecilia Lövkvist, Yueheng Lan, et al.
Arxiv|November 24, 2025
Fitness inference tested by in silico population geneticsHong-Li Zeng, Yu-Han Huang, John Barton, et al.
Journal of Molecular Evolution|July 11, 2026
Classification of SARS-CoV-2 Variants Through the Epistatic Circos Plots with Convolutional Neural NetworksBo Jing, Kai-Rui Zhang, Hong-Li Zeng, et al.
Physical Review. E|May 16, 2026
Fitness inference tested by in silico population geneticsHong-Li Zeng, Yu-Han Huang, Erik Aurell, et al.
Physical Review Letters|August 23, 2024
Random Pure Gaussian States and Hawking RadiationErik Aurell, Lucas Hackl, Paweł Horodecki, et al.
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