并应用生物信息学方法分析该基因的同源性、蛋白结构域及跨膜拓扑结构。

Bioinformatic methods were employed to analyze the homology of the nucleotide and amino acids sequence of beta subunit gene and its possible protein domain and transmembrane topology.

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应用生物信息学方法对CYP2D6基因突变致使的酶活性的下降做出一些可能的解释是可行的。

It is feasible to explain CYP2D6 mutation-induced the reduction in the activity of enzymes by bioinformatics.

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总结归纳了机器学习方法在目前生物信息学的应用，并对支撑向量机（SVM）算法的基本原理做了阐述；

Secondly, summarize the application of the machine learning methods in the bioinformatics and expatiate on the rationale of the Support Vector Machine (SVM).

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