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When using microarray data for studying a complex disease such as cancer, it is a common practice to normalize data to force all arrays to have the same distribution of probe intensities regardless of the biological groups of samples. The assumption underlying such normalization is that in a disease the majority of genes are not differentially expressed(More)
The biological interpretation of the complexity of cancer somatic mutation profiles is a major challenge in current cancer research. It has been suggested that mutations in multiple genes that participate in different pathways are collaborative in conferring growth advantage to tumor cells. Here, we propose a powerful pathway-based approach to study the(More)
We aimed to investigate whether red blood cell distribution width (RDW) and RDW to platelet ratio (RPR) were related to the histologic severity of primary biliary cirrhosis (PBC). Seventy-three treatment-naïve PBC patients who had undergone a liver biopsy between January 2010 and January 2015 were enrolled in our study. The patients' histological stages(More)
Hepatitis C virus (HCV) infections spontaneously clear in approximately 15-45% of infected individuals. Factors which influence spontaneous HCV clearance remain to be identified. The purpose of the present study was to identify variables associated with spontaneous HCV clearance in a referred population of Chinese patients. The prevalence of host, viral,(More)
Based on the assumption that only a few genes are differentially expressed in a disease and have balanced upward and downward expression level changes, researchers usually normalise microarray data by forcing all of the arrays to have the same probe intensity distributions to remove technical variations in the data. However, accumulated evidence suggests(More)
Hundreds of genes that are causally implicated in oncogenesis have been found and collected in various databases. For efficient application of these abundant but diverse data sources, it is of fundamental importance to evaluate their consistency. First, we showed that the lists of cancer genes from some major data sources were highly inconsistent in terms(More)
BACKGROUND Hepatitis B virus (HBV) and hepatitis C virus (HCV) co-infections contributes to a substantial proportion of liver disease worldwide. The aim of this study was to assess the clinical and virological features of HBV-HCV co-infection. METHODS Demographic data were collected for 3238 high-risk people from an HCV-endemic region in China. Laboratory(More)
By high-throughput screens of somatic mutations of genes in cancer genomes, hundreds of cancer genes are being rapidly identified, providing us abundant information for systematically deciphering the genetic changes underlying cancer mechanism. However, the functional collaboration of mutated genes is often neglected in current studies. Here, using four(More)
Recently, the dinucleotide variant ss469415590 (TT/ΔG) in a novel gene, interferon lambda 4 (IFNL4), was identified as a stronger predictor of hepatitis C virus (HCV) clearance in individuals of African ancestry compared with rs12979860. We aimed to determine whether this variant contributes to treatment decisions in a Chinese population. A total of 447(More)
Differential expression of microRNA (miRNA) is involved in many human diseases and could potentially be used as a biomarker for disease diagnosis, prognosis, and therapy. However, inconsistency has often been found among differentially expressed miRNAs identified in various studies when using miRNA arrays for a particular disease such as a cancer. Before(More)