Kerstin Lenhof
September 17, 2018 2023-11-10 11:17Kerstin Lenhof
Researcher
My name is Kerstin Lenhof. Currently, I am a PhD candidate from Saarland University/Saarbrücken Graduate School of Computer Science working as a researcher at the chair of Prof. Dr. Hans-Peter Lenhof (incidental name similarity). At this chair, we develop bioinformatics software and databases for analysing human diseases, e.g., cancer. I am particularly interested in the development of novel (machine learning) algorithms and approaches for drug sensitivity prediction and biomarker discovery in cancer. If you want to find out more about me, you may also visit my personal website.
Research
- Personalized medicine
- Machine learning in bioinformatics
- Cancer research
- Multi-omics integrative analyses
Education
- M. Sc. in Computational Molecular Biology, Saarland University September 2018
- B. Sc. in Computational Molecular Biology, Saarland University March 2016
Teaching
- Project Seminar: Machine Learning: SS18
- Bioinformatics I: WS19/20, WS22/23
- Bioinformatics II: SS19, SS22
- Seminar ‘Machine Learning Applications in Bioinformatics’: SS21, WS21/22, SS22
- Seminar ‘Computational Biomarker Discovery’: SS20, WS20/21, SS23
- Seminar ‘Bioinformatic Approaches for Personalized Cancer Treatment’: SS19, WS19/20
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- completed: 8 bachelor’s theses, 6 master’s theses
- ongoing: 3 bachelor’s theses, 1 master’s thesis
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- Bioinformatics I: WS15/16
- Bioinformatics II: SS16
- Mathematics for Computer Scientists I: WS14/15
- Mathematics for Computer Scientists II: SS15
- Preparatory Course in Mathematics for Computer Scientists: WS14/15, WS15/16
Latest Publications
Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method
[LEG+22] Lenhof, K., Eckhart, L., Gerstner, N., Kehl, T., Lenhof, H.-P. Simultaneous regression and classification for drug sensitivity prediction using an advanced random forest method. Scientific Reports, 2022. DOI: 10.1038/s41598-022-17609-x.
GeneTrail: A Framework for the Analysis of High-Throughput Profiles
[GKL+21] Gerstner, N., Kehl, T., Lenhof, K., Eckhart, L., Schneider, L., Stöckel, D., Backes, C., Meese, E., Keller, A., Lenhof, H.-P. GeneTrail: A Framework for the Analysis of High-Throughput Profiles. Frontiers in Molecular Biosciences, 2021. DOI: 10.3389/fmolb.2021.716544.
MERIDA: a novel Boolean logic-based integer linear program for personalized cancer therapy
[LGK+21] Lenhof, K., Gerstner, N., Kehl, T., Eckhart, L., Schneider, L., Lenhof, H.-P. MERIDA: a novel Boolean logic-based integer linear program for personalized cancer therapy. Bioinformatics, btab 546, 2021. DOI: 10.1093/bioinformatics/btab546.
Quantitative and time-resolved miRNA pattern of early human T cell activation
[DHK+20] Diener, C., Hart, M., Kehl, T., Rheinheimer, S., Ludwig, N.,Krammes, L., Pawusch, S., Lenhof, K., Tänzer, T., Schub, D., Sester, M., Walch-Rückheim,B., Keller, A., Lenhof, H.-P., Meese, E. Quantitative and time-resolved miRNA pattern of early human T cell activation. Nucleic Acids Research, 2020. DOI: 10.1093/nar/gkaa788.
GeneTrail 3: advanced high-throughput enrichment analysis
[GKL+20] Gerstner, N., Kehl, T., Lenhof, K., Müller, A., Mayer, C., Eckhart, L., Grammes, N.L., Diener, C., Hart, M., Hahn, O., Walter, J., Wyss-Coray, T., Meese, E., Keller, A., Lenhof, H.-P. GeneTrail 3: advanced high-throughput enrichment analysis. Nucleic Acids Research, 2020. DOI:10.1093/nar/gkaa306.
Contact
Center for Bioinformatics
Saarland Informatics Campus
Saarland University
Building E2.1, Room 402
P.O. Box 15 11 50
66041 Saarbrücken
Germany