Computational prediction of human proteins that can be secreted into the bloodstream

  title={Computational prediction of human proteins that can be secreted into the bloodstream},
  author={Juan Cui and Qi Liu and David Puett and Ying Xu},
  volume={24 20},
We present a novel computational method for predicting which proteins from highly and abnormally expressed genes in diseased human tissues, such as cancers, can be secreted into the bloodstream, suggesting possible marker proteins for follow-up serum proteomic studies. A main challenging issue in tackling this problem is that our understanding about the downstream localization after proteins are secreted outside the cells is very limited and not sufficient to provide useful hints about… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 53 references

Areas beneath the relative operating characteristics (ROC) and levels (ROL) curves: statistical significance and interpretation

S. J. Mason, N. E. Graham
Q. J. Roy. Meteorol. Soc., • 2002
View 4 Excerpts
Highly Influenced

Identification of genes involved in squamous cell carcinoma of the lung using synchronized data from DNA copy number and transcript expression profiling analysis

Lo, K.C
Lung Cancer, • 2008

2007b)Advances in exploration of machine learning methods for predicting functional class and interaction profiles of proteins and peptides irrespective of sequence homology

J Cui
Curr. Bioinformatics, • 2007

Protein solubility: sequence based prediction and experimental verification

P Smialowski