{"id":427,"date":"2016-07-14T17:25:23","date_gmt":"2016-07-14T20:25:23","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=427"},"modified":"2016-07-14T17:25:23","modified_gmt":"2016-07-14T20:25:23","slug":"vol6-no2-art2","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no2\/vol6-no2-art2\/","title":{"rendered":"The Self-Organized Chaos Game Representation for Genomic Signatures Analysis"},"content":{"rendered":"

T\u00edtulo:<\/strong> The Self-Organized Chaos Game Representation for Genomic Signatures Analysis<\/p>\n

Autores:<\/strong> Neme, Antonio; Nido, Antonio; Mireles, V\u00edctor; Miramontes, Pedro<\/p>\n

Resumo:<\/strong> Genomic signatures are important as a source of comparison and classification of genomes. In particular, the Chaos Game Representation, an iterative mapping method, generates a frequency distribution of nucleotides of length k and represents it on a lattice of size 2^k x 2^k. However, it lacks continuity in the sense that very different sequences are represented on contiguous cells of the lattice. Here, we propose an alternative method that organizes cells in such a way that continuity is higher than in the Chaos Game Rrepresentations. The cell organization is the outcome of a Self-Organizing Map and the obtained frequency distribution is named Self-Organized Chaos Game Representation. Experiments show that this visualization method is, at least, as good as the Chaos Game Representation, but it gives it a more intuitive sense when interpreting the images.<\/p>\n

Palavras-chave:<\/strong> Self Organizing Maps; Genomic Signatures; Chaos Game<\/p>\n

P\u00e1ginas:<\/strong> 10<\/p>\n

C\u00f3digo DOI:<\/strong> 10.21528\/lmln-vol6-no2-art2<\/a><\/p>\n

Artigo em PDF:<\/strong> vol6-no2-art2.pdf<\/a><\/p>\n

Arquivo BibTex:<\/strong> vol6-no2-art2.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

T\u00edtulo: The Self-Organized Chaos Game Representation for Genomic Signatures Analysis Autores: Neme, Antonio; Nido, Antonio; Mireles, V\u00edctor; Miramontes, Pedro Resumo: Genomic signatures are important as a source of comparison and classification of genomes. In particular, the Chaos Game Representation, an Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":423,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-427","page","type-page","status-publish","hentry"],"yoast_head":"\nThe Self-Organized Chaos Game Representation for Genomic Signatures Analysis - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol6-no2\/vol6-no2-art2\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Self-Organized Chaos Game Representation for Genomic Signatures Analysis - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: The Self-Organized Chaos Game Representation for Genomic Signatures Analysis Autores: Neme, Antonio; Nido, Antonio; Mireles, V\u00edctor; Miramontes, Pedro Resumo: Genomic signatures are important as a source of comparison and classification of genomes. 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