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Identifying Genes Predictive of Breast Cancer-associated Chemicals through Machine Learning Analysis of High-Throughput Transcriptomic Screening Data across MCF7 Cells
poster
posted on 2024-04-08, 19:36 authored by Lauren
E. Koval, Logan J Everett, Joshua Harrill, Richard Judson, Julia RagerPoster presented to SOT Conference 2024: A New Approach Method (NAM) to Screen for the Impact of Endogenous Stress on Chemical Toxicity
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