基因调控网络:利用迁移学习改进推断。

IF 1.2 4区 医学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Cellular reprogramming Pub Date : 2023-12-01 DOI:10.1089/cell.2023.0095
Marcelo Tigre Moura
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引用次数: 0

摘要

深度迁移学习改进了人类细胞中基因调控网络的推断,揭示了疾病相关基因,并确定了人类心脏病中基于网络的药物靶点。
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Gene Regulatory Networks: Improving Inferences with Transfer Learning.

Deep transfer learning improves the inference of gene regulatory networks in human cells, reveals disease-associated genes, and identifies network-based druggable targets in human heart disease.

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来源期刊
Cellular reprogramming
Cellular reprogramming CELL & TISSUE ENGINEERING-BIOTECHNOLOGY & APPLIED MICROBIOLOGY
CiteScore
2.50
自引率
6.20%
发文量
37
审稿时长
3 months
期刊介绍: Cellular Reprogramming is the premier journal dedicated to providing new insights on the etiology, development, and potential treatment of various diseases through reprogramming cellular mechanisms. The Journal delivers information on cutting-edge techniques and the latest high-quality research and discoveries that are transforming biomedical research. Cellular Reprogramming coverage includes: Somatic cell nuclear transfer and reprogramming in early embryos Embryonic stem cells Nuclear transfer stem cells (stem cells derived from nuclear transfer embryos) Generation of induced pluripotent stem (iPS) cells and/or potential for cell-based therapies Epigenetics Adult stem cells and pluripotency.
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