Deriving an optimal transcriptomic metric to establish protective and relevant transcriptomic points of departure for risk assessment application (ICEM 2022)

Reardon, Anthony J. F.; Farmahin, Reza; Williams, Andrew; Meier, Matthew; Addicks, Greg; Yauk, Carole; Atlas, Ella; Harrill, Joshua; Everett, Logan J.; Shah, Imran; Judson, Richard; Ramaiahgari, Sreenivasa; Ferguson, Stephen; Barton-Maclaren, Tara

doi:10.23645/epacomptox.25048451.v1

AReardon_Transcriptomics_P07_ICEM.pdf (2.39 MB)

Deriving an optimal transcriptomic metric to establish protective and relevant transcriptomic points of departure for risk assessment application (ICEM 2022)

presentation

posted on 2024-01-23, 17:08 authored by Anthony J. F. Reardon, Reza Farmahin, Williams, Andrew, Matthew Meier, Greg Addicks, Carole Yauk, Ella Atlas, Joshua Harrill, Logan J. Everett, Imran Shah, Richard Judson, Sreenivasa Ramaiahgari, Stephen Ferguson, Tara Barton-Maclaren

Presentation to the 13th International Conference on Environmental Mutagens (ICEM) August 2022

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