Author Kramer, Frank
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2014 | Conference Paper
Abstract 247: A functional genomics and a systems biology approach identify POMP as a potential therapeutic target for colorectal cancer
Camps, J.; Hummon, A. H.; Emons, G.; Kramer, F.; Pitt, J. J.; Grade, M. & Nguyen, Q. T. et al. (2014)
pp. 247-247. Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC
American Association for Cancer Research. DOI: https://doi.org/10.1158/1538-7445.AM10-247
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2016 | Journal Article
Building pathway graphs from BioPAX data in R
Benis, N.; Schokker, D.; Kramer, F.; Smits, M. A. & Suarez-Diez, M. (2016)
F1000Research, 5 pp. 2414. DOI: https://doi.org/10.12688/f1000research.9582.2
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2016 | Journal Article |
Prognostic Value of MicroRNAs in Preoperative Treated Rectal Cancer
Azizian, A.; Epping, I.; Kramer, F.; Jo, P.; Bernhardt, M.; Kitz, J. & Salinas, G. et al. (2016)
International Journal of Molecular Sciences, 17(4) art. 568. DOI: https://doi.org/10.3390/ijms17040568
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2016 | Book Chapter
Reconstruction of Protein Networks Using Reverse-Phase Protein Array Data
von der Heyde, S.; Sonntag, J.; Kramer, F.; Bender, C.; Korf, U.& Beißbarth, T. (2016)
In: Statistical Analysis in Proteomics pp. 227-246. DOI: https://doi.org/10.1007/978-1-4939-3106-4_15
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2019 | Journal Article |
The histone methyltransferase DOT1L is required for proper DNA damage response, DNA repair, and modulates chemotherapy responsiveness
Kari, V.; Raul, S. K; Henck, J. M; Kitz, J.; Kramer, F.; Kosinsky, R. L & Übelmesser, N. et al. (2019)
Clinical Epigenetics, 11(1) art. 4. DOI: https://doi.org/10.1186/s13148-018-0601-1
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2019 | Book Chapter
Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer
Chereda, H.; Bleckmann, A.; Kramer, F.; Leha, A.& Beißbarth, T. (2019)
In: Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer pp. 181-186. DOI: https://doi.org/10.3233/SHTI190824
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2021 | Journal Article |
Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer
Chereda, H.; Bleckmann, A.; Menck, K.; Perera-Bel, J.; Stegmaier, P.; Auer, F. & Kramer, F. et al. (2021)
Genome Medicine, 13(1) art. 42. DOI: https://doi.org/10.1186/s13073-021-00845-7
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