iLoc-Virus statistics

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Citations per year

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Associated diseases

Associated diseases

iLoc-Virus specifications


Unique identifier OMICS_18560
Name iLoc-Virus
Interface Web user interface
Restrictions to use None
Input data Some sequences of proteins (maximum 10) or a batch input file (maximum 50 proteins).
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Xuan Xiao <>

Publication for iLoc-Virus

iLoc-Virus in publications

PMCID: 3374840
PMID: 22719847
DOI: 10.1371/journal.pone.0037716

[…] experiments: one experiment is overall performance estimation on locative dataset, where multiplex protein is viewed as multiple singlex proteins as hum-mploc 2.0 , virus-mploc , iloc-euk , iloc-virus and plant-mploc did; the other experiment is multi-labelling estimation for multiplex proteins. the first experiment is similar to traditional supervised learning estimation except […]

PMCID: 3371015
PMID: 22715364
DOI: 10.1371/journal.pone.0037155

[…] 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 , wu et al. […]

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iLoc-Virus institution(s)
Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen, China; Gordon Life Science Institute, San Diego, CA, USA
iLoc-Virus funding source(s)
Supported by the grants from the National Natural Science Foundation of China (60961003), the Key Project of Chinese Ministry of Education (210116) and the Province National Natural Science Foundation of JiangXi (2009GZS0064 and 2010GZS0122).

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