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A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic.

M. Salvucci, A. Rahman, A. Resler, G. Udupi, D. McNamara, E. Kay, P. Laurent-Puig, D. Longley, P. Johnston, M. Lawler, R. Wilson, M. Salto-Tellez, S. Van Schaeybroeck, M. Rafferty, W. Gallagher, M. Rehm, and J. Prehn. JCO clinical cancer informatics, (April 2019)
DOI: 10.1200/CCI.18.00056

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Manuel Kirchhof University of Stuttgart

Replication data of B3 group for: "Tethering chiral Rh diene complexes inside mesoporous solids: experimental and theoretical study of substituent, pore and linker effects on asymmetric catalysis"M. Kirchhof. Dataset, (2024)Related to: Manuel Kirchhof, Katrin Gugeler, Ann-Katrin Beurer, Felix Richard Fischer, Derman Batman, Soeren M. Bauch, Sofia Kolin, Elliot Nicholas, Roland Schoch, Charlotte Vogler, Shravan R. Kousik, Anna Zens, Bernd Plietker, Petia Atasanova, Stefan Naumann, Matthias Bauer, Johanna Bruckner, Yvonne Traa, Johannes Kästner and Sabine Laschat: Tethering chiral Rh diene complexes inside mesoporous solids: experimental and theoretical study of substituent, pore and linker effects on asymmetric catalysis. Catal. Sci. Technol., 2023, 13, 3709-3724. doi: 10.1039/D3CY00381G.

Manuel Mauch University of Stuttgart

Dr. Manuel Keßler University of Stuttgart

Manuel Ilg University of Stuttgart

Dr. -Ing. Manuel Hirsch University of Stuttgart

Other publications of authors with the same name

A Stepwise Integrated Approach to Personalized Risk Predictions in Stage III Colorectal CancerM. Salvucci, M. Würstle, C. Morgan, S. Curry, M. Cremona, A. Lindner, O. Bacon, A. Resler, A. Murphy, R. O'Byrne and 20 other author(s). Clinical cancer research, 23 (5): 1200-1212 (2017)Embracing an integromic approach to tissue biomarker research in cancer: Perspectives and lessons learned.G. Li, P. Bankhead, P. Dunne, P. O'Reilly, J. James, M. Salto-Tellez, P. Hamilton, and D. McArt. Briefings in Bioinformatics, 18 (4): 634-646 (2017)A stepwise integrated approach to personalized risk predictions in stage III colorectal cancerM. Salvucci, M. Urstle, C. Morgan, S. Curry, M. Cremona, A. Lindner, O. Bacon, A. Resler, A. Murphy, R. O'Byrne and 20 other author(s). Clinical Cancer Research, 23 (5): 1200--1212 (March 2017)cudaMap: a GPU accelerated program for gene expression connectivity mapping.D. McArt, P. Bankhead, P. Dunne, M. Salto-Tellez, P. Hamilton, and S. Zhang. BMC Bioinformatics, (2013)samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files.A. Stupnikov, S. Tripathi, R. de Matos Simoes, D. McArt, M. Salto-Tellez, G. Glazko, M. Dehmer, and F. Emmert-Streib. Bioinformatics, 32 (21): 3345-3347 (2016)A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the ClinicM. Salvucci, A. Rahman, A. Resler, G. Udupi, D. McNamara, E. Kay, P. Laurent-Puig, D. Longley, P. Johnston, M. Lawler and 7 other author(s). JCO Clinical Cancer Informatics, (2019)A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic.M. Salvucci, A. Rahman, A. Resler, G. Udupi, D. McNamara, E. Kay, P. Laurent-Puig, D. Longley, P. Johnston, M. Lawler and 7 other author(s). JCO clinical cancer informatics, (April 2019)Exploratory multiplex tissue image analysis of the impact of heterogeneity in the microenvironment of primary colorectal cancer on apoptosis markers in patientsA. Lindner, M. Salvucci, X. Stachtea, S. Carberry, P. Dunne, A. Sood, E. McDonough, S. Cho, P. Laurent-Puig, S. Van Schaeybroeck and 7 other author(s). Proceedings: AACR Annual Meeting 2019, 79, 13, Suppl., page LB-088. Philadelphia, Pa., AACR, (2019)