Signature analysis of high-throughput transcriptomics screening data for mechanistic inference and chemical grouping.

MLA

Harrill, Joshua A., et al. “Signature Analysis of High-Throughput Transcriptomics Screening Data for Mechanistic Inference and Chemical Grouping.” Toxicological Sciences : An Official Journal of the Society of Toxicology, vol. 202, no. 1, Nov. 2024, pp. 103–22. EBSCOhost, https://doi.org/10.1093/toxsci/kfae108.

APA

Harrill, J. A., Everett, L. J., Haggard, D. E., Word, L. J., Bundy, J. L., Chambers, B., Harris, F., Willis, C., Thomas, R. S., Shah, I., & Judson, R. (2024). Signature analysis of high-throughput transcriptomics screening data for mechanistic inference and chemical grouping. Toxicological Sciences : An Official Journal of the Society of Toxicology, 202(1), 103–122. https://doi.org/10.1093/toxsci/kfae108

Chicago

Harrill, Joshua A, Logan J Everett, Derik E Haggard, Laura J Word, Joseph L Bundy, Bryant Chambers, Felix Harris, et al. 2024. “Signature Analysis of High-Throughput Transcriptomics Screening Data for Mechanistic Inference and Chemical Grouping.” Toxicological Sciences : An Official Journal of the Society of Toxicology 202 (1): 103–22. doi:10.1093/toxsci/kfae108.