Publications of Sandra Heise

Thiele, S., Heise, S., Hessenkemper, W., Bongartz, H., Fensky, M., Schaper, F., & Klamt, S. (2019)Designing optimal experiments to discriminate interaction graph modelsIEEE ACM Transactions on Computational Biology and Bioinformatics, 16 (3), 925–935doi: 10.1109/TCBB.2018.2812184.

Ud-Dean, S. M., Heise, S., Klamt, S., & Gunawan, R. (2016)TRaCE+: Ensemble inference of gene regulatory networks from transcriptional expression profiles of gene knock-out experiments.BMC Bioinformatics, 17 (17), 252doi: 10.1186/s12859-016-1137-z.

Flassig, R., Heise, S., Sundmacher, K., & Klamt, S. (2013)An effective framework for reconstructing gene regulatory networks from genetical genomics data.Bioinformatics, 29 (2), 246–254doi: 10.1093/bioinformatics/bts679.

Pinna, A., Heise, S., Flassig, R., de la Fuente, A., & Klamt, S. (2013)Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluationBMC Systems Biology, 7, 73doi: 10.1186/1752-0509-7-73.

Heise, S., Flassig, R., & Klamt, S. (2013)Benchmarking a Simple Yet Effective Approach for Inferring Gene Regulatory Networks from Systems Genetic DataIn: de la Fuente, A. (Eds.) Gene Network Inference: Verification of Methods for Systems Genetic Data.33–47Heidelberg: Springerdoi: 10.1007/978-3-642-45161-4_3.

Flassig, R., Heise, S., Sundmacher, K., & Klamt, S.An effective Framework for Gene RegulatoryNetwork Reconstruction from Genetical Genomics DataPresented at: GCB 2012Jena, Germany, September 19, 2012.