PMID- 29279850 OWN - NLM STAT- MEDLINE DCOM- 20180727 LR - 20181113 IS - 2314-6141 (Electronic) IS - 2314-6133 (Print) VI - 2017 DP - 2017 TI - An Improved Binary Differential Evolution Algorithm to Infer Tumor Phylogenetic Trees. PG - 5482750 LID - 10.1155/2017/5482750 [doi] LID - 5482750 AB - Tumourigenesis is a mutation accumulation process, which is likely to start with a mutated founder cell. The evolutionary nature of tumor development makes phylogenetic models suitable for inferring tumor evolution through genetic variation data. Copy number variation (CNV) is the major genetic marker of the genome with more genes, disease loci, and functional elements involved. Fluorescence in situ hybridization (FISH) accurately measures multiple gene copy number of hundreds of single cells. We propose an improved binary differential evolution algorithm, BDEP, to infer tumor phylogenetic tree based on FISH platform. The topology analysis of tumor progression tree shows that the pathway of tumor subcell expansion varies greatly during different stages of tumor formation. And the classification experiment shows that tree-based features are better than data-based features in distinguishing tumor. The constructed phylogenetic trees have great performance in characterizing tumor development process, which outperforms other similar algorithms. FAU - Liang, Ying AU - Liang Y AUID- ORCID: 0000-0001-9092-2110 AD - College of Information Science and Engineering, Hunan University, Changsha, China. FAU - Liao, Bo AU - Liao B AUID- ORCID: 0000-0001-7391-4063 AD - College of Information Science and Engineering, Hunan University, Changsha, China. FAU - Zhu, Wen AU - Zhu W AUID- ORCID: 0000-0002-1870-9400 AD - College of Information Science and Engineering, Hunan University, Changsha, China. LA - eng PT - Journal Article DEP - 20171127 PL - United States TA - Biomed Res Int JT - BioMed research international JID - 101600173 SB - IM MH - Carcinogenesis/*genetics MH - DNA Copy Number Variations/genetics MH - *Evolution, Molecular MH - Gene Dosage/genetics MH - Genome, Human MH - Humans MH - In Situ Hybridization, Fluorescence MH - Models, Genetic MH - Neoplasms/*genetics/pathology MH - *Phylogeny MH - Software PMC - PMC5723949 EDAT- 2017/12/28 06:00 MHDA- 2018/07/28 06:00 PMCR- 2017/11/27 CRDT- 2017/12/28 06:00 PHST- 2017/09/02 00:00 [received] PHST- 2017/10/18 00:00 [accepted] PHST- 2017/12/28 06:00 [entrez] PHST- 2017/12/28 06:00 [pubmed] PHST- 2018/07/28 06:00 [medline] PHST- 2017/11/27 00:00 [pmc-release] AID - 10.1155/2017/5482750 [doi] PST - ppublish SO - Biomed Res Int. 2017;2017:5482750. doi: 10.1155/2017/5482750. Epub 2017 Nov 27.