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Scientific Reports|October 5, 2023
Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancerDimitrij Tschodu, Jürgen Lippoldt, Pablo Gottheil, et al.
Plos One|February 10, 2022
Comparative analysis of molecular signatures reveals a hybrid approach in breast cancer: Combining the Nottingham Prognostic Index with gene expressions into a hybrid signatureDimitrij Tschodu, Bernhard Ulm, Klaus Bendrat, et al.
Soft Matter|February 7, 2024
Effect of non-linear strain stiffening in eDAH and unjammingXiaofan Xie, Frank Sauer, Steffen Grosser, et al.
Nature Cell Biology|August 26, 2020
Cell-cell adhesion and 3D matrix confinement determine jamming transitions in breast cancer invasionOlga Ilina, Pavlo G Gritsenko, Simon Syga, et al.
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