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A Review of Integrative Imputation for Multi-Omics Datasets.
Song M, Greenbaum J, Luttrell J 4th, Zhou W, Wu C, Shen H, Gong P, Zhang C, Deng HW. Song M, et al. Among authors: luttrell j 4th. Front Genet. 2020 Oct 15;11:570255. doi: 10.3389/fgene.2020.570255. eCollection 2020. Front Genet. 2020. PMID: 33193667 Free PMC article. Review.
A review on machine learning methods for in silico toxicity prediction.
Idakwo G, Luttrell J, Chen M, Hong H, Zhou Z, Gong P, Zhang C. Idakwo G, et al. Among authors: luttrell j. J Environ Sci Health C Environ Carcinog Ecotoxicol Rev. 2018;36(4):169-191. doi: 10.1080/10590501.2018.1537118. Epub 2019 Jan 10. J Environ Sci Health C Environ Carcinog Ecotoxicol Rev. 2018. PMID: 30628866 Review.
An autoencoder-based deep learning method for genotype imputation.
Song M, Greenbaum J, Luttrell J 4th, Zhou W, Wu C, Luo Z, Qiu C, Zhao LJ, Su KJ, Tian Q, Shen H, Hong H, Gong P, Shi X, Deng HW, Zhang C. Song M, et al. Among authors: luttrell j 4th. Front Artif Intell. 2022 Nov 3;5:1028978. doi: 10.3389/frai.2022.1028978. eCollection 2022. Front Artif Intell. 2022. PMID: 36406474 Free PMC article.
Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data.
Idakwo G, Thangapandian S, Luttrell J 4th, Zhou Z, Zhang C, Gong P. Idakwo G, et al. Among authors: luttrell j 4th. Front Physiol. 2019 Aug 13;10:1044. doi: 10.3389/fphys.2019.01044. eCollection 2019. Front Physiol. 2019. PMID: 31456700 Free PMC article.