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Updated: Jul 1, 2025

In Vivo Modeling of the Morbid Human Genome using Danio rerio
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机器学习模型揭示了不同的疾病亚组,并提高了病原性SCN8A功能获取变体的个体的诊断和预后准确性

Joshua B Hack1, Joseph C Watkins2, Michael F Hammer1,3

  • 1BIO5 Institute is Keating Research Building, 1657 E Helen Street, University of Arizona, Tucson, AZ 85721, USA.

Biology open
|March 11, 2024
PubMed
概括

机器学习在SCN8A功能增益变异患者中确定了三个不同的临床子组,超出了简单的线性谱. 这一发现有助于理解SCN8A相关疾病,并开发有针对性的治疗方法.

关键词:
临床表现型 临床表现型遗传性是一种遗传性.患者登记册 患者登记册儿科是儿童的.罕见疾病是一种罕见的疾病.没有监督的学习学习.

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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