DDMarkerP: DDMarker Prediction

In yu-shang/DDMarkerFAST: Diagnose and Detect Markers in Extracellular Circulating Feature Selection Method

Description

The Prediction Method of Diagnose and Detect Markers in Extracellular Circulating

results = DDMarkerP(model, ...);

Arguments

model	FAST class, should be the result computing by DDMarkerFAST()
data	Data matrix, which will be entailed whether can be diagnosed and detected in extracellular circulating, just like the references did

Details

results = DDMarkerP(model = model, data = data);

Value

The R function, DDMarkerP returns an object of vector, and entails the results.

Author(s)

Yu Shang (JLU & UGA) [e-mail]
Qiong Yu (JLU & UGA) [e-mail] [e-mail]
Huansheng Cao (UGA) [e-mail]
Guoqing Liu (IMUST & UGA) [e-mail] [e-mail]
Xiufeng Liu (GZUCM & UGA) [e-mail] [e-mail]
Hao Wu (BIT & UGA) [e-mail] [e-mail]
Yan Wang (JLU & UGA) [e-mail]
Ying Xu (JLU & UGA) [e-mail] [e-mail]

Maintainer: Yu Shang (JLU & UGA) [e-mail]

References

citation("DDMarkerFAST");
[1] Juan Cui, et al. (2011) An integrated transcriptomic and computational analysis for biomarker identification in gastric cancer. Nucleic Acids Research, 39: 1197-1207
[2] Juan Cui, et al. (2008) Computational prediction of human proteins that can be secreted into the bloodstream. BIOINFORMATICS, Vol.24 no. 20 2008 pages 2370-2375
[3] http://bioinfosrv1.bmb.uga.edu/DMarker/

See Also

DDMarkerFAST-package DDMarkerFAST-method DDMarker NAR

Examples

models = DDMarkerFAST();
results = DDMarkerP(models);

yu-shang/DDMarkerFAST documentation built on May 4, 2019, 5:34 p.m.