相关实验视频

Updated: Jun 2, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

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全基因组关联研究对相互作用的基因进行了丰富的研究

Peter T Nguyen1, Simon G Coetzee2, Irina Silacheva1

  • 1The Department of Biomedical and Translational Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, 90048, USA.

BioData mining
|January 15, 2025
PubMed
概括

基因算法应用于多omics数据,通过识别关键基因和细胞类型,揭示了遗传变异如何促进疾病风险. 这种方法产生了疾病的细胞模型,突出了乳腺癌等疾病中的变异性相互作用.

关键词:
乳腺癌 乳腺癌 乳腺癌复杂的疾病复杂的疾病.病理起因 病理起因 病理起因在GWAS中,GWAS就是GWAS.基因网络 基因网络遗传算法 遗传算法 遗传算法多个omics的多个omics.易感性 易感性 易感性变体优先级的排序方式

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