Workflow for Understanding the Phenotypic Characteristics of Seals by Epigenetic Analysis
Workflow for Understanding the Phenotypic Characteristics of Seals by Epigenetic Analysis
复制标题
通过表观遗传分析了解海豹表型特征的工作流程
DOI：
10.1145/3569951.3597584
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Vonholdt, B M.
中科院分区：
文献类型：
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作者：
Ghaffari, N;Venkatesh, S;Nazara, R;Oladejo, O;Venugopal, R P;Gaughran, S J.;Vonholdt, B M.
转座因子，通常被称为转座子，是具有改变其位置的能力的DNA序列。DNA甲基化是通过DNA甲基转移酶将甲基添加到DNA中的过程。DNA甲基化是一种表观遗传修饰，通过它调节基因表达[1]。生物信息学工具的最新进展使科学家能够同时高精度地鉴定数千个基因组区域的DNA甲基化水平。机器学习是一个强大的发现领域，由许多用于模式发现和预测的算法组成。目前研究的目的是在DNA甲基化数据上采用机器学习技术，以了解影响动物表型的潜在基因型因素。
1 BACKGROUNDTransposable elements, commonly referred to as transposons, are DNA sequences with the ability to change their position. DNA Methylation is the process where methyl groups are added to the DNA, by DNA methyl transferase enzyme. DNA methylation is a type of epigenetic modification by which gene expressions are regulated [1]. Recent advancements of bioinformatics tools has enabled scientist to identify DNA methylation levels of thousands of genomic regions simultaneously and with high accuracy. Machine Learning is a powerful discovery field that consists of numerous algorithms for pattern discovery and predictions. The aim of the current study is to employ Machine Learning Techniques on the DNA methylation data to understand the underlying genotypic factors that affect phenotype in animals.
声纳目标自动分类的不同机器学习算法的比较
DOI：
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发表时间：
2016
期刊：
OCEANS 2016 MTS/IEEE Monterey
影响因子：
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作者：
H. Berg;K. Hjelmervik;D. H. S. Stender;T. S. Sastad
通讯作者：
T. S. Sastad