Literature DB >> 29993694

Phylogenetic Reconstruction for Copy-Number Evolution Problems.

Ruofan Xia, Yu Lin, Jun Zhou, Tieming Geng, Bing Feng, Jijun Tang.   

Abstract

Cancer is known for its heterogeneity and is regarded as an evolutionary process driven by somatic mutations and clonal expansions. This evolutionary process can be modeled by a phylogenetic tree and phylogenetic analysis of multiple subclones of cancer cells can facilitate the study of the tumor variants progression. Copy-number aberration occurs frequently in many types of tumors in terms of segmental amplifications and deletions. In this paper, we developed a distance-based method for reconstructing phylogenies from copy-number profiles of cancer cells. We demonstrate the importance of distance correction from the edit (minimum) distance to the estimated actual number of events. Experimental results show that our approaches provide accurate and scalable results in estimating the actual number of evolutionary events between copy number profiles and in reconstructing phylogenies.

Entities:  

Year:  2018        PMID: 29993694     DOI: 10.1109/TCBB.2018.2829698

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  2 in total

1.  Comparing copy-number profiles under multi-copy amplifications and deletions.

Authors:  Garance Cordonnier; Manuel Lafond
Journal:  BMC Genomics       Date:  2020-04-16       Impact factor: 3.969

2.  Achieving large and distant ancestral genome inference by using an improved discrete quantum-behaved particle swarm optimization algorithm.

Authors:  Zhaojuan Zhang; Wanliang Wang; Ruofan Xia; Gaofeng Pan; Jiandong Wang; Jijun Tang
Journal:  BMC Bioinformatics       Date:  2020-11-11       Impact factor: 3.169

  2 in total

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