Lipka, Daniel B.
German Cancer Research Center · Deutsches Konsortium für Translationale Krebsforschung
8 papers on CoChatORCID 0000-0001-5081-7869
Most cited papers
- Verified
DNMT and HDAC inhibitors induce cryptic transcription start sites encoded in long terminal repeats
Brocks, D., Schmidt, C. R., Daskalakis, M., Jang, H. S., Shah, N. M., Li, D., Li, J., Zhang, B., Hou, Y., Laudato, S., et al. (2017) · Nature Genetics
Epigenetics and DNA MethylationGenomics and Chromatin Dynamics
Cited by 339
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Inflammatory exposure drives long-lived impairment of hematopoietic stem cell self-renewal activity and accelerated aging
Bogeska, R., Mikecin, A.-M., Kaschutnig, P., Fawaz, M., Büchler-Schäff, M., Le, D., Ganuza, M., Vollmer, A., Paffenholz, S. V., Asada, N., et al. (2022) · Cell Stem Cell
Hematopoietic Stem Cell TransplantationMesenchymal stem cell research
Cited by 299
- Verified
Comprehensive Genomic and Transcriptomic Analysis for Guiding Therapeutic Decisions in Patients with Rare Cancers
Horak, P., Heining, C., Kreutzfeldt, S., Hutter, B., Mock, A., Hüllein, J., Fröhlich, M., Uhrig, S., Jahn, A., Rump, A., et al. (2021) · Cancer Discovery
Cancer Genomics and DiagnosticsGenomics and Rare Diseases
Cited by 290
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Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
Haggenmüller, S., Maron, R. C., Hekler, A., Utikal, J. S., Barata, C., Barnhill, R. L., Beltraminelli, H., Berking, C., Betz-Stablein, B., Blum, A., et al. (2021) · European Journal of Cancer
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 267
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Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification
Höhn, J., Krieghoff-Henning, E., Jutzi, T. B., von Kalle, C., Utikal, J. S., Meier, F., Gellrich, F. F., Hobelsberger, S., Hauschild, A., Schlager, J. G., et al. (2021) · European Journal of Cancer
AI in cancer detectionCutaneous Melanoma Detection and Management
Cited by 106
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Hotspot DNMT3A mutations in clonal hematopoiesis and acute myeloid leukemia sensitize cells to azacytidine via viral mimicry response
Scheller, M., Ludwig, A. K., Göllner, S., Rohde, C., Krämer, S., Stäble, S., Janssen, M., Müller, J.-A., He, L., Bäumer, N., et al. (2021) · Nature Cancer
Acute Myeloid Leukemia ResearchEpigenetics and DNA Methylation
Cited by 73
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Inflammatory signals from fatty bone marrow support DNMT3A driven clonal hematopoiesis
Zioni, N., Bercovich, A. A., Chapal-Ilani, N., Bacharach, T., Rappoport, N., Solomon, A., Avraham, R., Kopitman, E., Porat, Z., Sacma, M., et al. (2023) · Nature Communications
Acute Myeloid Leukemia ResearchHematopoietic Stem Cell Transplantation
Cited by 67
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Effects of Label Noise on Deep Learning-Based Skin Cancer Classification
Hekler, A., Kather, J. N., Krieghoff-Henning, E., Utikal, J. S., Meier, F., Gellrich, F. F., Upmeier zu Belzen, J., French, L., Schlager, J. G., Ghoreschi, K., et al. (2020) · Frontiers in Medicine
Cutaneous Melanoma Detection and ManagementAI in cancer detection
Cited by 58
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