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Prediction accuracy (%) comparisons of GPCR dataset:

Pahalage Dhanushka Sandaruwan (11586951) ; Champi Thusangi Wannige (11586954)
https://figshare.com/articles/figure/Prediction_accuracy_comparisons_of_GPCR_dataset_/16838922. , 2021

Link: https://doi.org/10.1371/journal.pone.0258625.g006

RT Journal
T1 <Title>Prediction accuracy (%) comparisons of GPCR dataset</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16838922&Exemplar=1&LAN=DE
				
A1 Pahalage Dhanushka Sandaruwan (11586951)
A1 Champi Thusangi Wannige (11586954)
YR 2021
K1 Biochemistry
K1 Cell Biology
K1 Genetics
K1 Biotechnology
K1 Evolutionary Biology
K1 Infectious Diseases
K1 Biological Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 popular pfam dataset
K1 different levels simultaneously
K1 deephifam performed well
K1 deep learning plays
K1 deep learning models
K1 amino acid sequences
K1 novel protein sequences
K1 main role player
K1 different proteins involve
K1 protein family classification
K1 identify protein structure
K1 classify proteins hierarchically
K1 classify proteins
K1 protein characterization
K1 key role
K1 hierarchically classified
K1 protein subfamilies
K1 protein families
K1 massive amounts
K1 many areas
K1 living organism
K1 hierarchical classification
K1 functional properties
K1 evolutionary relatedness
K1 computational techniques
K1 become difficult
JF https://figshare.com/articles/figure/Prediction_accuracy_comparisons_of_GPCR_dataset_/16838922
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0258625.g006
DO https://doi.org/10.1371/journal.pone.0258625.g006
SF ELIB - SuUB Bremen

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