|
|
|
|
Sequence-based prediction of protein-protein interactions by means of rotation forest and autocorrelation descriptor
|
|
|
|
|
|
|
|
نویسنده
|
xia j.-f. ,han k. ,huang d.-s.
|
|
منبع
|
protein and peptide letters - 2010 - دوره : 17 - شماره : 1 - صفحه:137 -145
|
|
چکیده
|
We propose a sequence-based multiple classifier system,i.e.,rotation forest,to infer protein-protein interactions (ppis). moreover,moran autocorrelation descriptor is used to code an interaction protein pair. experimental results on saccharomyces cerevisiae and helicobacter pylori datasets show that our approach outperforms those previously published in literature,which demonstrates the effectiveness of the proposed method. © 2010 bentham science publishers ltd.
|
|
کلیدواژه
|
Autocorrelation descriptor; Multiple classifier system; Protein sequence; Protein-protein interactions; Rotation forest
|
|
آدرس
|
intelligent computing lab,hefei institute of intelligent machines,chinese academy of sciences,p.o. box 1130,hefei,anhui 230031,china,school of life science,university of science and technology of china,hefei, China, school of computer science and engineering, South Korea, intelligent computing lab,hefei institute of intelligent machines,chinese academy of sciences,p.o. box 1130,hefei, China
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Authors
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|