Lea Eckhart
Employment:
Researcher
Personal:
My name is Lea Eckhart. Since October 2020, I am working at the chair of Prof. Dr. Hans-Peter Lenhof. My research is focused on personalized medicine and drug sensitivity prediction in cancer using machine learning algorithms.
Education:
M. Sc. in Computational Molecular Biology, Saarland University July 2020
B. Sc. in Computational Molecular Biology, Saarland University November 2017
Research:
- Cancer Research
- Personalized Medicine
- Machine Learning
My Publications
2022
[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.
2021
[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.
[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.
2020
[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.
