iPhos-PseEn

:: DESCRIPTION

iPhos-PseEn is a predictor by fusing four different pseudo component approaches (amino acids’ disorder scores, nearest neighbors, occurrence frequencies, and position weights) into an ensemble classifier via a voting system to identify human phosphorylation sites.

::DEVELOPER

Xiao Lab

:: SCREENSHOTS

n/a

:: REQUIREMENTS

• Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Oncotarget. 2016 Aug 9;7(32):51270-51283. doi: 10.18632/oncotarget.9987.
iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier
Wang-Ren Qiu 1 2, Xuan Xiao 1 3, Zhao-Chun Xu 1, Kuo-Chen Chou 3 4 5