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Anzahl der Publikationen: 10
Zeitschriftenartikel
Nguyeb, Phong B. H.; Garger, Daniel; Lu, Diyuan; Maalmi, Haifa 
ORCID: https://orcid.org/0000-0002-2910-1142; Prokisch, Holger ORCID: https://orcid.org/0000-0003-2379-6286; Thorand, Barbara ORCID: https://orcid.org/0000-0002-8416-6440; Adamski, Jerzy ORCID: https://orcid.org/0000-0001-9259-0199; Kastenmüller, Gabi ORCID: https://orcid.org/0000-0002-2368-7322; Waldenberger, Melanie ORCID: https://orcid.org/0000-0003-0583-5093; Gieger, Christian ORCID: https://orcid.org/0000-0001-6986-9554; Peters, Annette ORCID: https://orcid.org/0000-0001-6645-0985; Suhre, Karsten ORCID: https://orcid.org/0000-0001-9638-3912; Bönhof, Gidon J. ORCID: https://orcid.org/0000-0003-1446-6592; Rathmann, Wolfgang ORCID: https://orcid.org/0000-0001-7804-1740; Roden, Michael ORCID: https://orcid.org/0000-0001-8200-6382; Grallert, Harald ORCID: https://orcid.org/0000-0002-6876-9655; Ziegler, Dan ORCID: https://orcid.org/0000-0001-8956-3552; Herder, Christian ORCID: https://orcid.org/0000-0002-2050-093X und Menden, Michael P. ORCID: https://orcid.org/0000-0003-0267-5792
(16. Dezember 2024):
Interpretable multimodal machine learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy.
In: Communications Medicine, Bd. 4, 265
[PDF, 1MB]
ORCID: https://orcid.org/0000-0002-2910-1142; Prokisch, Holger ORCID: https://orcid.org/0000-0003-2379-6286; Thorand, Barbara ORCID: https://orcid.org/0000-0002-8416-6440; Adamski, Jerzy ORCID: https://orcid.org/0000-0001-9259-0199; Kastenmüller, Gabi ORCID: https://orcid.org/0000-0002-2368-7322; Waldenberger, Melanie ORCID: https://orcid.org/0000-0003-0583-5093; Gieger, Christian ORCID: https://orcid.org/0000-0001-6986-9554; Peters, Annette ORCID: https://orcid.org/0000-0001-6645-0985; Suhre, Karsten ORCID: https://orcid.org/0000-0001-9638-3912; Bönhof, Gidon J. ORCID: https://orcid.org/0000-0003-1446-6592; Rathmann, Wolfgang ORCID: https://orcid.org/0000-0001-7804-1740; Roden, Michael ORCID: https://orcid.org/0000-0001-8200-6382; Grallert, Harald ORCID: https://orcid.org/0000-0002-6876-9655; Ziegler, Dan ORCID: https://orcid.org/0000-0001-8956-3552; Herder, Christian ORCID: https://orcid.org/0000-0002-2050-093X und Menden, Michael P. ORCID: https://orcid.org/0000-0003-0267-5792
(16. Dezember 2024):
Interpretable multimodal machine learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy.
In: Communications Medicine, Bd. 4, 265
[PDF, 1MB]
Caldi Gomes, Lucas; Galhoz, Ana; Jain, Gaurav; Roser, Anna-Elisa; Maass, Fabian; Carboni, Eleonora; Barski, Elisabeth; Lenz, Christof; Lohmann, Katja; Klein, Christine; Baehr, Mathias; Fischer, Andre; Menden, Michael P. und Lingor, Paul
(2022):
Multi-omic landscaping of human midbrains identifies disease-relevant molecular targets and pathways in advanced-stage Parkinson's disease.
In: Clinical and Translational Medicine, Bd. 12, Nr. 1, e692
Erber, Johanna; Kappler, Verena; Haller, Bernhard; Mijocevic, Hrvoje; Galhoz, Ana; da Costa, Clarissa Prazeres; Gebhardt, Friedemann; Graf, Natalia; Hoffmann, Dieter; Thaler, Markus; Lorenz, Elke; Roggendorf, Hedwig; Kohlmayer, Florian; Henkel, Andreas; Menden, Michael P.; Ruland, Jürgen; Spinner, Christoph D.; Protzer, Ulrike; Knolle, Percy und Lingor, Paul
(2022):
Infection Control Measures and Prevalence of SARS-CoV-2 IgG among 4,554 University Hospital Employees, Munich, Germany.
In: Emerging Infectious Diseases, Bd. 28, Nr. 3: S. 572-581
Keutzer, Lina; You, Huifang; Farnoud, Ali; Nyberg, Joakim; Wicha, Sebastian G.; Maher-Edwards, Gareth; Vlasakakis, Georgios; Moghaddam, Gita Khalili; Svensson, Elin M.; Menden, Michael P. und Simonsson, Ulrika S. H.
(2022):
Machine Learning and Pharmacometrics for Prediction of Pharmacokinetic Data: Differences, Similarities and Challenges Illustrated with Rifampicin.
In: Pharmaceutics, Bd. 14, Nr. 8, 1530
Boniolo, Fabio; Dorigatti, Emilio; Ohnmacht, Alexander J.; Saur, Dieter; Schubert, Benjamin und Menden, Michael P.
(2021):
Artificial intelligence in early drug discovery enabling precision medicine.
In: Expert Opinion on Drug Discovery, Bd. 16, Nr. 9: S. 991-1007
Nguyen, Phong B. H.; Ohnmacht, Alexander J.; Sharifli, Samir; Garnett, Mathew J. und Menden, Michael P.
(2021):
Inferred Ancestral Origin of Cancer Cell Lines Associates with Differential Drug Response.
In: International Journal of Molecular Sciences, Bd. 22, Nr. 18, 10135
Ayestaran, Inigo; Galhoz, Ana; Spiegel, Elmar; Sidders, Ben; Dry, Jonathan R.; Dondelinger, Frank; Bender, Andreas; McDermott, Ultan; Iorio, Francesco und Menden, Michael P.
(2020):
Identification of Intrinsic Drug Resistance and Its Biomarkers in High-Throughput Pharmacogenomic and CRISPR Screens.
In: Patterns, Bd. 1, Nr. 5, 100065
Yang, Mi; Jaaks, Patricia; Dry, Jonathan; Garnett, Mathew; Menden, Michael P. und Saez-Rodriguez, Julio
(2020):
Stratification and prediction of drug synergy based on target functional similarity.
In: Npj Systems Biology and Applications, Bd. 6, Nr. 1, 16
Naulaerts, Stefan; Menden, Michael P. und Ballester, Pedro J.
(2020):
Concise Polygenic Models for Cancer-Specific Identification of Drug-Sensitive Tumors from Their Multi-Omics Profiles.
In: Biomolecules, Bd. 10, Nr. 6, 963
Keshava, Nirmal; Toh, Tzen S.; Yuan, Haobin; Yang, Bingxun; Menden, Michael P. und Wang, Dennis
(2019):
Defining subpopulations of differential drug response to reveal novel target populations.
In: Npj Systems Biology and Applications, Bd. 5, UNSP 36