Hafner, Marc

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

Multiomics Profiling Establishes the Polypharmacology of FDA-Approved CDK4/6 Inhibitors and the Potential for Differential Clinical Activity

Hafner, M., Mills, C. E., Subramanian, K., Chen, C., Chung, M., Boswell, S. A., Everley, R. A., Liu, C., Walmsley, C. S., Juric, D., et al. (2019) · Cell Chemical Biology

Advanced Breast Cancer TherapiesPI3K/AKT/mTOR signaling in cancer

Cited by 250

An allosteric pan-TEAD inhibitor blocks oncogenic YAP/TAZ signaling and overcomes KRAS G12C inhibitor resistance

Hagenbeek, T. J., Zbieg, J. R., Hafner, M., Mroue, R., Lacap, J. A., Sodir, N. M., Noland, C. L., Afghani, S., Kishore, A., Bhat, K. P., et al. (2023) · Nature Cancer

Hippo pathway signaling and YAP/TAZMicrotubule and mitosis dynamics

Cited by 215

Few-shot learning creates predictive models of drug response that translate from high-throughput screens to individual patients

Ma, J., Fong, S. H., Luo, Y., Bakkenist, C. J., Shen, J. P., Mourragui, S., Wessels, L. F. A., Hafner, M., Sharan, R., Peng, J., et al. (2021) · Nature Cancer

Computational Drug Discovery MethodsDomain Adaptation and Few-Shot Learning

Cited by 180

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

‘Glocal’ Robustness Analysis and Model Discrimination for Circadian Oscillators

Hafner, M., Koeppl, H., Hasler, M., & Wagner, A. (2009) · PLoS Computational Biology

Circadian rhythm and melatoninGene Regulatory Network Analysis

Cited by 63