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BPSI2.0: a C/C++ interface program for species identification via DNA barcoding with a BP‐neural network by calling the Matlab engine
Author(s) -
ZHANG A. B.,
SAVOLAINEN P.
Publication year - 2009
Publication title -
molecular ecology resources
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.96
H-Index - 136
eISSN - 1755-0998
pISSN - 1755-098X
DOI - 10.1111/j.1755-0998.2008.02372.x
Subject(s) - dna barcoding , identification (biology) , artificial neural network , biology , interface (matter) , matlab , backpropagation , value (mathematics) , computational biology , artificial intelligence , machine learning , computer science , data mining , evolutionary biology , ecology , operating system , pulmonary surfactant , biochemistry , gibbs isotherm
BP‐Species Identification (BPSI2.0) is a computer program that performs species identification by training a Back‐Propagation Neural Network. A short DNA barcoding segment is used as input for training a three‐layer BP network. The trained network can assign an unknown query sequence to a known species in the user's database, and provide the corresponding subvector value of the output vector as a relative probability value.