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Evaluation and optimization of sequence-based gene regulatory deep learning models.
Rafi AM, Nogina D, Penzar D, Lee D, Lee D, Kim N, Kim S, Kim D, Shin Y, Kwak IY, Meshcheryakov G, Lando A, Zinkevich A, Kim BC, Lee J, Kang T, Vaishnav ED, Yadollahpour P; Random Promoter DREAM Challenge Consortium; Kim S, Albrecht J, Regev A, Gong W, Kulakovskiy IV, Meyer P, de Boer C. Rafi AM, et al. Among authors: kang t. bioRxiv [Preprint]. 2024 Feb 17:2023.04.26.538471. doi: 10.1101/2023.04.26.538471. bioRxiv. 2024. Update in: Nat Biotechnol. 2024 Oct 11. doi: 10.1038/s41587-024-02414-w PMID: 38405704 Free PMC article. Updated. Preprint.
A community effort to optimize sequence-based deep learning models of gene regulation.
Rafi AM, Nogina D, Penzar D, Lee D, Lee D, Kim N, Kim S, Kim D, Shin Y, Kwak IY, Meshcheryakov G, Lando A, Zinkevich A, Kim BC, Lee J, Kang T, Vaishnav ED, Yadollahpour P; Random Promoter DREAM Challenge Consortium; Kim S, Albrecht J, Regev A, Gong W, Kulakovskiy IV, Meyer P, de Boer CG. Rafi AM, et al. Among authors: kang t. Nat Biotechnol. 2024 Oct 11. doi: 10.1038/s41587-024-02414-w. Online ahead of print. Nat Biotechnol. 2024. PMID: 39394483
3,820 results