PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Gutta, Cristiano"

Author of the publication

copydeleteadd this publication to your clipboard
Novel strategies to mimic transmembrane tumor necrosis factor-dependent activation of tumor necrosis factor receptor 2

, , , , , , , and . Scientific reports, (2017)
DOI: 10.1038/s41598-017-06993-4

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Cristiano Guttà University of Stuttgart

 

Other publications of authors with the same name

Phosphoprotein patterns predict trametinib responsiveness and optimal trametinib sensitisation strategies in melanoma, , , , , , , , , and 3 other author(s). Cell Death & Differentiation, (October 2018)Applying a GAN-based classifier to improve transcriptome-based prognostication in breast cancer, , and . PLoS Computational Biology, 19 (4): e1011035 (2023)Phosphoprotein Patterns Predict Trametinib Responsiveness and Optimal Trametinib Sensitisation Strategies in Melanoma, , , , , , , , , and 3 other author(s). Cell Death & Differentiation, 26 (8): 1365-1378 (2019)Novel strategies to mimic transmembrane tumor necrosis factor-dependent activation of tumor necrosis factor receptor 2, , , , , , , and . Scientific reports, (2017)Applying a GAN-based classifier to improve transcriptome-based prognostication in breast cancer, , and . PLOS Computational Biology, 19 (4): 1-20 (April 2023)MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing., , , , , , , , and . Bioinformatics, 30 (21): 3115-3117 (2014)TAK1 suppresses RIPK1-dependent cell death and is associated with disease progression in melanoma, , , , , , , , and . Cell Death and Differentiation, 26 (12): 2520-2534 (2019)T-GAN-D: a GAN-based classifier for breast cancer prognostication, , and . (October 2022)Prognostication and prediction of cancer patient outcomes using AI-based classifiers. Universität Stuttgart, Stuttgart, Dissertation, (2023)Melanoma 2.0. Skin cancer as a paradigm for emerging diagnostic technologies, computational modelling and artificial intelligence, , , , , , , , , and 8 other author(s). Briefings in bioinformatics, 23 (6): bbac433 (2022)