Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties von Menden, Michael P, Iorio, Francesco, Garnett, Mathew, McDermott, Ultan, Benes, Cyril H, Ballester, Pedro J, Saez-Rodriguez, Julio

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Loss of NEDD8 in cancer cells causes vulnerability to immune checkpoint blockade in triple-negative breast cancer von Papakyriacou, Irineos, Kutkaite, Ginte, Rúbies Bedós, Marta, Nagarajan, Divya, Alford, Liam P., Menden, Michael P., Mao, Yumeng

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The impact of the cardiovascular component and somatic mutations on ageing von Garger, Daniel, Meinel, Martin, Dietl, Tamina, Hillig, Christina, Garzorz‐Stark, Natalie, Eyerich, Kilian, de Angelis, Martin Hrabě, Eyerich, Stefanie, Menden, Michael P.

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Suppression of ferroptosis by vitamin A or radical-trapping antioxidants is essential for neuronal development von Tschuck, Juliane, Padmanabhan Nair, Vidya, Galhoz, Ana, Zaratiegui, Carole, Tai, Hin-Man, Ciceri, Gabriele, Rothenaigner, Ina, Tchieu, Jason, Stockwell, Brent R., Studer, Lorenz, Cabianca, Daphne S., Menden, Michael P., Vincendeau, Michelle, Hadian, Kamyar

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The germline genetic component of drug sensitivity in cancer cell lines von Menden, Michael P., Casale, Francesco Paolo, Stephan, Johannes, Bignell, Graham R., Iorio, Francesco, McDermott, Ultan, Garnett, Mathew J., Saez-Rodriguez, Julio, Stegle, Oliver

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The Oncology Biomarker Discovery framework reveals cetuximab and bevacizumab response patterns in metastatic colorectal cancer von Ohnmacht, Alexander J., Stahler, Arndt, Stintzing, Sebastian, Modest, Dominik P., Holch, Julian W., Westphalen, C. Benedikt, Hölzel, Linus, Schübel, Marisa K., Galhoz, Ana, Farnoud, Ali, Ud-Dean, Minhaz, Vehling-Kaiser, Ursula, Decker, Thomas, Moehler, Markus, Heinig, Matthias, Heinemann, Volker, Menden, Michael P.

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Spatial transcriptomics reveals altered lipid metabolism and inflammation-related gene expression of sebaceous glands in psoriasis and atopic dermatitis von Seiringer, Peter, Hillig, Christina, Schäbitz, Alexander, Jargosch, Manja, Pilz, Anna Caroline, Eyerich, Stefanie, Szegedi, Andrea, Sochorová, Michaela, Gruber, Florian, Zouboulis, Christos C, Biedermann, Tilo, Menden, Michael P, Eyerich, Kilian, Törőcsik, Daniel

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Machine Learning and Pharmacometrics for Prediction of Pharmacokinetic Data: Differences, Similarities and Challenges Illustrated with Rifampicin von 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, Simonsson, Ulrika S. H

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Inferred Ancestral Origin of Cancer Cell Lines Associates with Differential Drug Response von Nguyen, Phong B. H., Ohnmacht, Alexander J., Sharifli, Samir, Garnett, Mathew J., Menden, Michael P.

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Numerical and Machine Learning Analysis of the Parameters Affecting the Regionally Delivered Nasal Dose of Nano- and Micro-Sized Aerosolized Drugs von Farnoud, Ali, Tofighian, Hesam, Baumann, Ingo, Ahookhosh, Kaveh, Pourmehran, Oveis, Cui, Xinguang, Heuveline, Vincent, Song, Chen, Vreugde, Sarah, Wormald, Peter-John, Menden, Michael P, Schmid, Otmar

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Concise Polygenic Models for Cancer-Specific Identification of Drug-Sensitive Tumors from Their Multi-Omics Profiles von Naulaerts, Stefan, Menden, Michael P., Ballester, Pedro J.

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Adaptive informatics for multifactorial and high-content biological data von Millard, Bjorn L, Niepel, Mario, Menden, Michael P, Muhlich, Jeremy L, Sorger, Peter K

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A statistical framework for assessing pharmacological responses and biomarkers using uncertainty estimates von Wang, Dennis, Hensman, James, Kutkaite, Ginte, Toh, Tzen S., Galhoz, Ana, Dry, Jonathan R., Saez-Rodriguez, Julio, Garnett, Mathew J., Menden, Michael P., Dondelinger, Frank

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Multi‐omic landscaping of human midbrains identifies disease‐relevant molecular targets and pathways in advanced‐stage Parkinson's disease von Caldi Gomes, Lucas, Galhoz, Ana, Jain, Gaurav, Roser, Anna‐Elisa, Maass, Fabian, Carboni, Eleonora, Barski, Elisabeth, Lenz, Christof, Lohmann, Katja, Klein, Christine, Bähr, Mathias, Fischer, André, Menden, Michael P., Lingor, Paul

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Defining subpopulations of differential drug response to reveal novel target populations von Keshava, Nirmal, Toh, Tzen S., Yuan, Haobin, Yang, Bingxun, Menden, Michael P., Wang, Dennis

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Quantitative Proteome Landscape of the NCI-60 Cancer Cell Lines von Guo, Tiannan, Luna, Augustin, Rajapakse, Vinodh N., Koh, Ching Chiek, Wu, Zhicheng, Liu, Wei, Sun, Yaoting, Gao, Huanhuan, Menden, Michael P., Xu, Chao, Calzone, Laurence, Martignetti, Loredana, Auwerx, Chiara, Buljan, Marija, Banaei-Esfahani, Amir, Ori, Alessandro, Iskar, Murat, Gillet, Ludovic, Bi, Ran, Zhang, Jiangnan, Zhang, Huanhuan, Yu, Chenhuan, Zhong, Qing, Varma, Sudhir, Schmitt, Uwe, Qiu, Peng, Zhang, Qiushi, Zhu, Yi, Wild, Peter J., Garnett, Mathew J., Bork, Peer, Beck, Martin, Liu, Kexin, Saez-Rodriguez, Julio, Elloumi, Fathi, Reinhold, William C., Sander, Chris, Pommier, Yves, Aebersold, Ruedi

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GDSCTools for mining pharmacogenomic interactions in cancer von Cokelaer, Thomas, Chen, Elisabeth, Iorio, Francesco, Menden, Michael P, Lightfoot, Howard, Saez-Rodriguez, Julio, Garnett, Mathew J

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Applying synergy metrics to combination screening data: agreements, disagreements and pitfalls von Vlot, Anna H.C., Aniceto, Natália, Menden, Michael P., Ulrich-Merzenich, Gudrun, Bender, Andreas

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A Landscape of Pharmacogenomic Interactions in Cancer von Iorio, Francesco, Knijnenburg, Theo A., Vis, Daniel J., Bignell, Graham R., Menden, Michael P., Schubert, Michael, Aben, Nanne, Gonçalves, Emanuel, Barthorpe, Syd, Lightfoot, Howard, Cokelaer, Thomas, Greninger, Patricia, van Dyk, Ewald, Chang, Han, de Silva, Heshani, Heyn, Holger, Deng, Xianming, Egan, Regina K., Liu, Qingsong, Mironenko, Tatiana, Mitropoulos, Xeni, Richardson, Laura, Wang, Jinhua, Zhang, Tinghu, Moran, Sebastian, Sayols, Sergi, Soleimani, Maryam, Tamborero, David, Lopez-Bigas, Nuria, Ross-Macdonald, Petra, Esteller, Manel, Gray, Nathanael S., Haber, Daniel A., Stratton, Michael R., Benes, Cyril H., Wessels, Lodewyk F.A., Saez-Rodriguez, Julio, McDermott, Ultan, Garnett, Mathew J.

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Pharmacogenomic agreement between two cancer cell line data sets von Stransky, Nicolas, Ghandi, Mahmoud, Kryukov, Gregory V, Garraway, Levi A, Lehár, Joseph, Liu, Manway, Sonkin, Dmitriy, Kauffmann, Audrey, Venkatesan, Kavitha, Edelman, Elena J, Riester, Markus, Barretina, Jordi, Caponigro, Giordano, Schlegel, Robert, Sellers, William R, Stegmeier, Frank, Morrissey, Michael, Amzallag, Arnaud, Pruteanu-Malinici, Iulian, Haber, Daniel A, Ramaswamy, Sridhar, Benes, Cyril H, Menden, Michael P, Iorio, Francesco, Stratton, Michael R, McDermott, Ultan, Garnett, Mathew J, Saez-Rodriguez, Julio

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