本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2017
摘要
High-throughput methods are producing an ever increasing flood of-omics data that yield a more and more detailed and rich genomic annotation. Combining these data into coherently behaving regions lies at the heart of functional 基因組 annotation efforts. The segmentation problem, which addresses the task of subdividing an ordered sequence of data into homogeneous, approximately constant intervals, therefore has rapidly gained practical importance in 計算 biology, with a strong emphasis on multi-dimensional data tracks. We suggest a new segmentation method based on decomposition thresholding, and local optimum differentiation, which detects significant breakpoints in the data to identify segment boundaries.
※ 此為已發表論文，全文需透過期刊付費取得