Development of a molecular feature-based survival prediction model of ovarian cancer using the deep neural network

Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98404

Title:	Development of a molecular feature-based survival prediction model of ovarian cancer using the deep neural network
Authors:	Lang, T Yang, M Xia, Y Liu, J Li, Y Yang, L Cui, C Hu, Y Luo, Y Zou, D Zhou, L Fu, Z Zhou, Q
Issue Date:	Jul-2023
Source:	Genes & diseases, July 2023, v. 10, no. 4, p. 1190-1193
Publisher:	Elsevier BV
Journal:	Genes & diseases
ISSN:	2352-4820
EISSN:	2352-3042
DOI:	10.1016/j.gendis.2022.10.011
Rights:	© 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). The following publication Lang, T., et al. (2023). "Development of a molecular feature-based survival prediction model of ovarian cancer using the deep neural network." Genes & Diseases 10(4): 1190-1193 is available at https://doi.org/10.1016/j.gendis.2022.10.011.
Appears in Collections:	Journal/Magazine Article

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