HybridGO-Loc – Multi-Label Protein Subcellular Localization Prediction

HybridGO-Loc

:: DESCRIPTION

HybridGO-Loc stands for mining Hybrid features on Gene Ontology (GO) for protein subcellular Localization prediction, meaning that this predictor extracts the feature of proteins from different perspectives of GO information (i.e. GO frequency occurrences and GO semantic similarity) and then processes the information by a multi-label multi-class SVM classifier with an adaptive decision scheme.

::DEVELOPER

Dr. Man-Wai Mak

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Wan S, Mak MW, Kung SY.
HybridGO-Loc: mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins.
PLoS One. 2014 Mar 19;9(3):e89545. doi: 10.1371/journal.pone.0089545. PMID: 24647341; PMCID: PMC3960097.