Open AccesspredPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance
Author(s) -
Sabit Ahmed,
Afrida Rahman,
Md. Al Mehedi Hasan,
Md Khaled Ben Islam,
Julia Rahman,
Shamim Ahmad
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0249396
Subject(s) - probabilistic logic , computational biology , computer science , protein sequencing , sequence (biology) , pseudo amino acid composition , autoencoder , data mining , artificial intelligence , bioinformatics , machine learning , biology , amino acid , peptide sequence , biochemistry , artificial neural network , dipeptide , gene
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