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Barbara Engelhardt on Muck Rack

Barbara Engelhardt

As seen in: Nature, arXiv, BioRxiv, The Journal of Pediatrics
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Articles

Machine learning and statistical methods for molecular quantitative trait loci

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By Barbara Engelhardt, Joshua Weinstock, Sarah K. Nyquist, Alexis Battle
| Nature Verified
Abstract An important goal of biology is to understand how genetic variation translates into molecular and then broader phenotypic variation. Quantitative trait locus (QTL) mapping studies are designed to statistically test the relationship between genetic and phenotypic variation, with molecular QTLs (molQTLs) capturing genetic effects on molecular traits, such as gene expression or chromatin accessibility, as the variable phenotypes of interest.
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Segmentation-free analysis of live-cell imaging data reveals how T cell modifications influence cancer cell aggregation dynamics

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By Leo Epstein, Adam C. Weiner, Archit Verma, Mozhgan Saeidi, Julia Carnevale, Alexander Marson, Barbara Engelhardt
| Nature Verified
Abstract Live-cell imaging (LCI) of modified T cells co-cultured with cancer cells is commonly used to quantify T cell anti-cancer function. Videos captured by LCI show complex multi-cell behavioral phenotypes that go beyond simple cancer cell fluorescence measurements. Here, we develop an unsupervised analysis workflow to characterize LCI data generated using the Incucyte imaging platform.
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[2503.17299] Preference-Guided Diffusion for Multi-Objective Offline Optimization

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By Stefano Ermon, Stefan Bauer, Barbara Engelhardt, Syrine Belakaria
| arXiv
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