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|Interface||Web user interface|
|Restrictions to use||None|
|Input data||Some sequences of query proteins.|
- person_outline Xuan Xiao
Publication for iLoc-Plant
Predicting Subcellular Localization of Apoptosis Proteins Combining GO Features of Homologous Proteins and Distance Weighted KNN Classifier
[…] eresting because they may have some very special biological functions intriguing to investigators in both basic research and drug discovery. So far, many outstanding predictors, that is, iLoc-Euk , iLoc-Plant , MLPred-Euk , MultiP-SChlo , mGOASVM , and HybridGO-Loc , were also developed into web-servers used to cope with the multiple location problems in eukaryotic, plant, virus, and h […]
Identification and characterization of plastid type proteins from sequence attributed features using machine learning
[…] our phase-I models in distinguishing the plastid vs. non-plastid proteins with two widely used tools TargetP  and WoLF PSORT  along with two other recently developed predictors; YLoc-HiRes  and iLoc-Plant . The performance of these methods was compared using the same independent dataset containing 316 plastid and 316 non-plastid proteins (Table ). As both DIPEP and NCC models from our phas […]
Imbalanced Multi Modal Multi Label Learning for Subcellular Localization Prediction of Human Proteins with Both Single and Multiple Sites
[…] ed YLoc by using the simple naive Bayes classifier. Lin et al. proposed a knowledge based approach by using the local sequence similarity. Recently, four new approaches called iLoc-Euk , iLoc-Gneg , iLoc-Plant and iLoc-Virus were proposed based on a multi-label classifier to predict the subcellular locations of eukaryotic, Gram-negative bacterial, plant, and virus proteins, respectively. In , W […]
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