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Bladder cancer (BC) is a global fatal malignancy, which results in 114,000 deaths in 1990 and even 170,000 deaths in 2010 [1]. Therefore, the identification of BC-related genes is in emergency need for analyzing BC more comprehensively. In this study, we propose a heterogeneous network-based propagation algorithm using multi-dimensional data to score and rank the candidate BC-related genes. The novelty...
Phosphorylation is a crucial post translational modification, which regulates almost all cellular process in life. It has long been recognized that protein phosphorylation has close relationship with diseases, and therefore many researches are undertaken to predict phosphorylation sites for disease treatment and drug design. However, despite the success achieved by these approaches, no method focuses...
Comprehensive detection and identification of copy number and LOH of chromosomal aberration is required to provide an accurate therapy of human cancer. As a cost-saving and high-throughput tool, SNP arrays facilitate analysis of chromosomal aberration throughout the whole genome. The performance of previous approaches has been limited to several critical issues such as normal cell contamination, aneuploidy...
Phosphorylation controls the dynamic behavior and decision processes of eukaryotic cells. So far, thousands of phosphorylation sites have been discovered by proteome-wide mapping and other biochemical studies. In this study, we constructed a human phosphorylation network by using an integrated dataset of experimentally and computationally identified protein kinase-substrate information based on Phospho...
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