【摘 要】
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Many cancers are composed of multiple subtypes in terms of distinct pathogeneses and clinical therapeutics.Identification of cancer subtypes is vital to advance the precision of disease diagnosis and
【出 处】
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第二届中国计算机学会生物信息学会议
论文部分内容阅读
Many cancers are composed of multiple subtypes in terms of distinct pathogeneses and clinical therapeutics.Identification of cancer subtypes is vital to advance the precision of disease diagnosis and therapy.In recent years,the advance of the high-throughput sequencing techniques produced huge and multiple types of genomics data,and provided good opportunities to comprehensively understand the mechanism of cancer progress.Over the past few years,numerous approaches have been proposed to integrate multiple types of genomics data,such as gene expression,DNA methylation and miRNA,etc.,to investigate cancer subtypes.However,on the one hand,few of them particularly considered the intrinsic correlations among genetic elements in each type of genomics data; on the other hand,to the best of our knowledge,none of them considered the alternative splicing regulations in data integrations.Nevertheless,it has been demonstrated that many cancers occurrences are related to abnormal alternative splicing regulations in recent years.
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