z-logo
open-access-imgOpen Access
Prediction of signal peptides in protein sequences by neural networks.
Author(s) -
Dariusz Plewczyński,
Lukasz Slabinski,
Krzysztof Ginalski,
Leszek Rychlewski
Publication year - 2008
Publication title -
acta biochimica polonica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.452
H-Index - 78
eISSN - 1734-154X
pISSN - 0001-527X
DOI - 10.18388/abp.2008_3073
Subject(s) - signal peptide , cleavage (geology) , software portability , artificial neural network , computer science , signal (programming language) , computational biology , peptide fragment , genome , pattern recognition (psychology) , data mining , artificial intelligence , peptide , peptide sequence , chemistry , biology , biochemistry , gene , paleontology , fracture (geology) , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom