Welcome to the Laura Heiser Lab
The research laboratory of Laura Heiser, Ph.D., is focused on identifying predictors of drug response and resistance, using novel imaging techniques to identify phenotypic changes associated with molecular aberrations and therapeutic response, and studying the influence of the microenvironment on cancer cells. In all of this research, the lab uses well-integrated experimental and computational approaches to understand the complexity of cancer. Because this work is necessarily multidisciplinary in nature, the lab frequently collaborate with diverse teams of scientists, as illustrated by involvement in the NIH LINCS Consortium, NCI Cancer Systems Biology Consortium (CSBC), and DREAM Project.
Heiser Lab news
4/2/20: Goecks J, Jalili V, Heiser LM, Gray JW. How Machine Learning Will Transform Biomedicine. Cell 181 (1), 2 April 2020. PMID: 32243801; PMCID: PMC7141410
Kimmel GJ, Dane M, Heiser LM, Alrock PM, Andor N. Integrating mathematical modeling with high throughput imaging explains how polyploid populations behave in nutrient-sparse environments. Cancer Res, 16 Sep 2020. doi: 10.1158/0008-5472.CAN-20-1231
Hunt GJ, Dane MA, Korkola JE, Heiser LM, Gagnon-Bartsch JA. Automatic Transformation and Integration to Improve Visualization and Discovery of Latent Effects in Imaging Data. Journal of Computational and Graphical Statistics, 25 Feb 2020. DOI: 10.1080/10618600.2020.1741379
Bucher E, Claunch CJ, Hee D, Smith R, Devlin K, Thompson W, Korkola JE, Heiser LM. Annot: a Django-based sample, reagent, and experiment metadata tracking system. BMC Bioinformatics 20, 542 (2019). PMID: 31675914
Gross SM, Dane MA, Bucher E, Heiser LM. Individual Cells Can Resolve Variations in Stimulus Intensity along the IGF-PI3K-AKT Signaling Axis. Cell Systems. 2019 Dec 18;9(6):580-588.e4. PMID: 31838146