Open AccessImproved Success of Phenotype Prediction of the Human Immunodeficiency Virus Type 1 from Envelope Variable Loop 3 Sequence Using Neural Networks
Author(s) -
Wolfgang Resch,
Noah G. Hoffman,
Ronald Swanstrom
Publication year - 2001
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/h2h8-1563
Subject(s) - envelope (radar) , artificial neural network , sequence (biology) , phenotype , human immunodeficiency virus (hiv) , loop (graph theory) , biology , variable (mathematics) , type (biology) , virology , v3 loop , genetics , computational biology , computer science , artificial intelligence , mathematics , gene , peptide sequence , telecommunications , combinatorics , ecology , mathematical analysis , radar
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