High resolution annotation of gene functions is a central goal in functional genomics. A single gene may produce multiple isoforms with different functions through alternative splicing. Conventional approaches however consider a gene as a single entity without differentiating these functionally different isoforms. Towards understanding gene functions at higher resolution, recent efforts have focused on predicting the functions of isoforms. However, the performance of existing methods is far from satisfactory mainly because of the lack of isoform-level functional annotation.

中文翻译：

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IsoResolve：通过将基因和异构体级特征与域适应相结合来预测剪接异构体功能。

基因功能的高分辨率注释是功能基因组学的中心目标。通过选择性剪接，单个基因可能产生具有不同功能的多种亚型。然而，传统方法将基因视为单个实体，而不区分这些功能不同的亚型。为了以更高的分辨率理解基因功能，最近的努力集中在预测亚型的功能上。然而，现有方法的性能远不能令人满意，主要是因为缺乏异构体级别的功能注释。