Grover E. C. Guzman, Peter F Stadler, Andre Fujita

Cavity approach for the approximation of spectral density of graphs with heterogeneous structures

In Physical Review E, volume 109, 034303, 2024. APS. 10.1103/PhysRevE.109.034303

Journal Publication

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Journal Publication

Daniel Truhn, Chiara ML Loeffler, Gustav Müller-Franzes, Sven Nebelung, Katherine J Hewitt, Sebastian Brandner, Keno K Bressem, Sebastian Foersch, Jakob Nikolas Kather

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Journal Publication

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Journal Publication

Sarah von Löhneysen, Mario Mörl, Peter F Stadler

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In Frontiers in Bioinformatics, volume 4, 2024. Frontiers Media. 10.3389/fbinf.2024.1346779

Journal Publication

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Conference Publication

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Conference Publication

Pierre Bréchet, Katerina Papagiannouli, Jing An, Guido Montúfar

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Conference Publication

Benjamin P. Brown, Richard A. Stein, Jens Meiler, Hassane S. Mchaourab

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In Journal of Chemical Theory and Computation, 2023. American Chemical Society. 10.1021/acs.jctc.3c01081

Journal Publication

Julien Calderaro, Narmin Ghaffari Laleh, Qinghe Zeng, Pascale Maille, Loetitia Favre, Anaïs Pujals, Christophe Klein, Céline Bazille, Lara R. Heij, Arnaud Uguen, Tom Luedde, Luca Di Tommaso, Aurélie Beaufrère, Augustin Chatain, Delphine Gastineau, Cong Trung Nguyen, Hiep Nguyen-Canh, Khuyen Nguyen Thi, Viviane Gnemmi, Rondell P. Graham, Frédéric Charlotte, Dominique Wendum, Mukul Vij, Daniela S. Allende, Federico Aucejo, Alba Diaz, Benjamin Rivière, Astrid Herrero, Katja Evert, Diego Francesco Calvisi, Jérémy Augustin, Wei Qiang Leow, Howard Ho Wai Leung, Emmanuel Boleslawski, Mohamed Rela, Arnaud François, Anthony Wing-Hung Cha, Alejandro Forner, Maria Reig, Manon Allaire, Olivier Scatton, Denis Chatelain, Camille Boulagnon-Rombi, Nathalie Sturm, Benjamin Menahem, Eric Frouin, David Tougeron, Christophe Tournigand, Emmanuelle Kempf, Haeryoung Kim, Massih Ningarhari, Sophie Michalak-Provost, Purva Gopal, Raffaele Brustia, Eric Vibert, Kornelius Schulze, Darius F. Rüther, Sören A. Weidemann, Rami Rhaiem, Jean-Michel Pawlotsky, Xuchen Zhang, Alain Luciani, Sébastien Mulé, Alexis Laurent, Giuliana Amaddeo, Hélène Regnault, Eleonora De Martin, Christine Sempoux, Pooja Navale, Maria Westerhoff, Regina Cheuk-Lam Lo, Jan Bednarsch, Annette Gouw, Catherine Guettier, Marie Lequoy, Kenichi Harada, Pimsiri Sripongpun, Poowadon Wetwittayaklang, Nicolas Loménie, Jarukit Tantipisit, Apichat Kaewdech, Jeanne Shen, Valérie Paradis, Stefano Caruso, Jakob Nikolas Kather

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Journal Publication

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Conference Publication

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Conference Publication

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Conference Publication

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Conference Publication

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Conference Publication

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Conference Publication

Lukas Gerlach, David Carral

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Conference Publication

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Conference Publication

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Journal Publication

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Conference Publication

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Journal Publication

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Journal Publication

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Journal Publication

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Conference Publication

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Journal Publication

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Conference Publication

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Conference Publication

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Conference Publication

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Journal Publication

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Journal Publication

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Journal Publication

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Journal Publication

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Journal Publication

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Conference Publication

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Journal Publication

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Journal Publication

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Conference Publication

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Journal Publication

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Journal Publication

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Journal Publication

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Journal Publication

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Conference Publication

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In Cancer Cell, volume 41, 1650-1661.e4, 2023. Cell Press. 10.1016/j.ccell.2023.08.002

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