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iLoc-Gneg specifications


Unique identifier OMICS_18562
Name iLoc-Gneg
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-Gneg

iLoc-Gneg citation


Imbalanced Multi Modal Multi Label Learning for Subcellular Localization Prediction of Human Proteins with Both Single and Multiple Sites

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

[…] named 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, […]

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iLoc-Gneg institution(s)
Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen, China; Gordon Life Science Institute, San Diego, CA, USA
iLoc-Gneg funding source(s)
Supported by grants from the National Natural Science Foundation of China (No. 60961003), the Key Project of Chinese Ministry of Education (No. 210116), the Province National Natural Science Foundation of JiangXi (2009GZS0064 and 2010GZS0122), the Department of Education of Jiang-Xi Province (No. GJJ09271), and the plan for training youth scientists (stars of Jing-Gang) of Jiangxi Province.

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