Niepel, Mario

Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs

Hafner, M., Niepel, M., Chung, M., & Sorger, P. K. (2016) · Nature Methods

Cancer Cells and MetastasisComputational Drug Discovery Methods

Cited by 681

The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations

Keenan, A. B., Jenkins, S. L., Jagodnik, K. M., Koplev, S., He, E., Torre, D., Wang, Z., Dohlman, A. B., Silverstein, M. C., Lachmann, A., et al. (2018) · Cell Systems

Bioinformatics and Genomic NetworksGene Regulatory Network Analysis

Cited by 423

Input–output behavior of ErbB signaling pathways as revealed by a mass action model trained against dynamic data

Chen, W. W., Schoeberl, B., Jasper, P. J., Niepel, M., Nielsen, U. B., Lauffenburger, D. A., & Sorger, P. K. (2009) · Molecular Systems Biology

HER2/EGFR in Cancer ResearchGene Regulatory Network Analysis

Cited by 391

A Multi-center Study on the Reproducibility of Drug-Response Assays in Mammalian Cell Lines

Niepel, M., Hafner, M., Mills, C. E., Subramanian, K., Williams, E. H., Chung, M., Gaudio, B., Barrette, A. M., Stern, A. D., Hu, B., et al. (2019) · Cell Systems

Scientific Computing and Data ManagementAnimal testing and alternatives

Cited by 133

GRcalculator: an online tool for calculating and mining dose–response data

Clark, N. A., Hafner, M., Kouril, M., Williams, E. H., Muhlich, J. L., Pilarczyk, M., Niepel, M., Sorger, P. K., & Medvedovic, M. (2017) · BMC Cancer

Computational Drug Discovery MethodsCell Image Analysis Techniques

Cited by 121

Systematic analysis of BRAFV600E melanomas reveals a role for JNK/c‐Jun pathway in adaptive resistance to drug‐induced apoptosis

Fallahi‐Sichani, M., Moerke, N. J., Niepel, M., Zhang, T., Gray, N. S., & Sorger, P. K. (2015) · Molecular Systems Biology

Melanoma and MAPK PathwaysProtein Kinase Regulation and GTPase Signaling

Cited by 99