Journal
Patterns
Publication Date
2-9-2024
Volume
5
Issue
2
First Page
100910
Document Type
Open Access Publication
DOI
10.1016/j.patter.2023.100910
Rights and Permissions
Waters MR, Inkman M, Jayachandran K, Kowalchuk RM, Robinson C, Schwarz JK, Swamidass SJ, Griffith OL, Szymanski JJ, Zhang J. GAiN: An integrative tool utilizing generative adversarial neural networks for augmented gene expression analysis. Patterns (N Y). 2024 Jan 8;5(2):100910. doi: 10.1016/j.patter.2023.100910. Copyright 2023 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Recommended Citation
Waters, Michael R; Inkman, Matthew; Jayachandran, Kay; Kowalchuk, Roman M; Robinson, Clifford; Schwarz, Julie K; Swamidass, S Joshua; Griffith, Obi L; Szymanski, Jeffrey J; and Zhang, Jin, "GAiN: An integrative tool utilizing generative adversarial neural networks for augmented gene expression analysis." Patterns. 5, 2. 100910 (2024).
https://digitalcommons.wustl.edu/oa_4/4538
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
