Open AccessGlycan classification with tree kernels
Author(s) -
Yoshihiro Yamanishi,
Francis Bach,
JeanPhilippe Vert
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm090
Subject(s) - glycan , support vector machine , computer science , computational biology , discriminative model , artificial intelligence , tree (set theory) , pattern recognition (psychology) , machine learning , data mining , biology , mathematics , glycoprotein , biochemistry , combinatorics
Glycans are covalent assemblies of sugar that play crucial roles in many cellular processes. Recently, comprehensive data about the structure and function of glycans have been accumulated, therefore the need for methods and algorithms to analyze these data is growing fast.
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