Similarity analysis between chromosomes of Homo sapiens and monkeys with correlation coefficient, rank correlation coefficient and cosine similarity measures

In this paper, we consider correlation coefficient, rank correlation coefficient and cosine similarity measures for evaluating similarity between Homo sapiens and monkeys. We used DNA chromosomes of genome wide genes to determine the correlation between the chromosomal content and evolutionary relat...

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Autores principales: Someswara Rao, Chinta, Viswanadha Raju, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Lab Resource
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778639/
https://www.ncbi.nlm.nih.gov/pubmed/26981409
http://dx.doi.org/10.1016/j.gdata.2016.01.001
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author Someswara Rao, Chinta
Viswanadha Raju, S.
author_facet Someswara Rao, Chinta
Viswanadha Raju, S.
author_sort Someswara Rao, Chinta
collection PubMed
description In this paper, we consider correlation coefficient, rank correlation coefficient and cosine similarity measures for evaluating similarity between Homo sapiens and monkeys. We used DNA chromosomes of genome wide genes to determine the correlation between the chromosomal content and evolutionary relationship. The similarity among the H. sapiens and monkeys is measured for a total of 210 chromosomes related to 10 species. The similarity measures of these different species show the relationship between the H. sapiens and monkey. This similarity will be helpful at theft identification, maternity identification, disease identification, etc.
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spelling pubmed-47786392016-03-15 Similarity analysis between chromosomes of Homo sapiens and monkeys with correlation coefficient, rank correlation coefficient and cosine similarity measures Someswara Rao, Chinta Viswanadha Raju, S. Genom Data Lab Resource In this paper, we consider correlation coefficient, rank correlation coefficient and cosine similarity measures for evaluating similarity between Homo sapiens and monkeys. We used DNA chromosomes of genome wide genes to determine the correlation between the chromosomal content and evolutionary relationship. The similarity among the H. sapiens and monkeys is measured for a total of 210 chromosomes related to 10 species. The similarity measures of these different species show the relationship between the H. sapiens and monkey. This similarity will be helpful at theft identification, maternity identification, disease identification, etc. Elsevier 2016-01-07 /pmc/articles/PMC4778639/ /pubmed/26981409 http://dx.doi.org/10.1016/j.gdata.2016.01.001 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Lab Resource
Someswara Rao, Chinta
Viswanadha Raju, S.
Similarity analysis between chromosomes of Homo sapiens and monkeys with correlation coefficient, rank correlation coefficient and cosine similarity measures
title Similarity analysis between chromosomes of Homo sapiens and monkeys with correlation coefficient, rank correlation coefficient and cosine similarity measures
title_full Similarity analysis between chromosomes of Homo sapiens and monkeys with correlation coefficient, rank correlation coefficient and cosine similarity measures
title_fullStr Similarity analysis between chromosomes of Homo sapiens and monkeys with correlation coefficient, rank correlation coefficient and cosine similarity measures
title_full_unstemmed Similarity analysis between chromosomes of Homo sapiens and monkeys with correlation coefficient, rank correlation coefficient and cosine similarity measures
title_short Similarity analysis between chromosomes of Homo sapiens and monkeys with correlation coefficient, rank correlation coefficient and cosine similarity measures
title_sort similarity analysis between chromosomes of homo sapiens and monkeys with correlation coefficient, rank correlation coefficient and cosine similarity measures
topic Lab Resource
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4778639/
https://www.ncbi.nlm.nih.gov/pubmed/26981409
http://dx.doi.org/10.1016/j.gdata.2016.01.001
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