iLoc-Cell
:: DESCRIPTION
iLoc-Hum: a predictor for subcellular locations of human proteins with multiple sites.
iLoc-Euk: a predictor for subcellular locations of eukaryotic proteins with multiple sites.
iLoc-Plant: a predictor for subcellular locations of plant proteins with multiple sites.
iLoc-Virus: a predictor for subcellular locations of Viral proteins with multiple sites.
iLoc-Gpos: a predictor for subcellular locations of Gram-Positive proteins with multiple sites.
iLoc-Gneg: a predictor for subcellular locations of human proteins with multiple sites.
::DEVELOPER
:: SCREENSHOTS
n/a
:: REQUIREMENTS
- Web browser
:: DOWNLOAD
:: MORE INFORMATION
Citation
iLoc-Hum: using the accumulation-label scale to predict subcellular locations of human proteins with both single and multiple sites.
Chou KC, Wu ZC, Xiao X.
Mol Biosyst. 2012 Feb;8(2):629-41. doi: 10.1039/c1mb05420a. Epub 2011 Dec 1.
iLoc-Euk: a multi-label classifier for predicting the subcellular localization of singleplex and multiplex eukaryotic proteins.
Chou KC, Wu ZC, Xiao X.
PLoS One. 2011 Mar 30;6(3):e18258. doi: 10.1371/journal.pone.0018258.
iLoc-Plant: a multi-label classifier for predicting the subcellular localization of plant proteins with both single and multiple sites.
Wu ZC, Xiao X, Chou KC.
Mol Biosyst. 2011 Dec;7(12):3287-97. doi: 10.1039/c1mb05232b. Epub 2011 Oct 10.
iLoc-Virus: a multi-label learning classifier for identifying the subcellular localization of virus proteins with both single and multiple sites.
Xiao X, Wu ZC, Chou KC.
J Theor Biol. 2011 Sep 7;284(1):42-51. doi: 10.1016/j.jtbi.2011.06.005. Epub 2011 Jun 17.
iLoc-Gpos: a multi-layer classifier for predicting the subcellular localization of singleplex and multiplex Gram-positive bacterial proteins.
Wu ZC, Xiao X, Chou KC.
Protein Pept Lett. 2012 Jan;19(1):4-14.
PLoS One. 2011;6(6):e20592. doi: 10.1371/journal.pone.0020592. Epub 2011 Jun 17.
A multi-label classifier for predicting the subcellular localization of gram-negative bacterial proteins with both single and multiple sites.
Xiao X1, Wu ZC, Chou KC.