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Author:

Wu, Jinge (Wu, Jinge.) | Zhang, Lihan (Zhang, Lihan.) | Weng, Yuanzhe (Weng, Yuanzhe.) | Meng, Jia (Meng, Jia.) | Su, Jionglong (Su, Jionglong.) | Wang, Yue (Wang, Yue.)

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Abstract:

In this paper, we look into the correction on the ambiguities in the conversion between genome-based coordinates and RNA-based coordinates. An improved algorithm for estimating the distribution of RNA-related genomic features is proposed based on our previous article, 'Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features'. It applies Expectation Maximization algorithm to estimate RNA-related genomic features using iterations. After each iteration, the proportion of the real distribution coordinates is increased, and the result is closer to the real distribution, demonstrating validity and effectiveness of our proposed method. © 2020 ACM.

Keyword:

Bioinformatics Biomedical engineering Genes Image segmentation Iterative methods Maximum principle RNA

Author Community:

  • [ 1 ] [Wu, Jinge]Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China
  • [ 2 ] [Zhang, Lihan]Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China
  • [ 3 ] [Weng, Yuanzhe]Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China
  • [ 4 ] [Meng, Jia]Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China
  • [ 5 ] [Su, Jionglong]Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China
  • [ 6 ] [Wang, Yue]Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China

Reprint Author's Address:

  • [Wang, Yue]Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, China;;

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Year: 2020

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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