PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble le...
PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection
About this item
Full title
Author / Creator
Ullah, Matee , Han, Ke , Hadi, Fazal , Xu, Jian , Song, Jiangning and Yu, Dong-Jun
Publisher
England: Oxford University Press
Journal title
Language
English
Formats
Publication information
Publisher
England: Oxford University Press
Subjects
More information
Scope and Contents
Contents
Protein subcellular localization plays a crucial role in characterizing the function of proteins and understanding various cellular processes. Therefore, accurate identification of protein subcellular location is an important yet challenging task. Numerous computational methods have been proposed to predict the subcellular location of proteins. How...
Alternative Titles
Full title
PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8574991
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8574991
Other Identifiers
ISSN
1467-5463,1477-4054
E-ISSN
1477-4054
DOI
10.1093/bib/bbab278
