Analysis of HIV by entropy evolution rate View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1998-12

AUTHORS

K. Sato, S. Miyazaki, M. Ohya

ABSTRACT

We analyze the variation of HIV after infection by means of an information measure, called the entropy evolution rate. In our analysis, we use a part of the external glycoprotein gp120 including the V3 region observed from six patients. Then we could make the following two aspects clear; (1) the relation between the change of the entropy evolution rate and the appearance of symptoms of disease, and (2) the relation between the change of the entropy evolution rate and that of the CD4 count of the patients. More... »

PAGES

343-352

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf01318853

DOI

http://dx.doi.org/10.1007/bf01318853

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1021168913

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/9871478


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