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Comprehensive analyses of competing endogenous RNA networks reveal potential biomarkers for predicting hepatocellular carcinoma recurrence

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Hepatocellular carcinoma (HCC) is one of the most common and deadly malignant tumors, with a high rate of recurrence worldwide. This study aimed to investigate the mechanism underlying the progression of HCC and to identify recurrence-related biomarkers. |

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Comprehensive transcriptomic analyses of tissue, serum, and serum exosomes from hepatocellular carcinoma patients

Comprehensive proteome analyses of lysine acetylation in tea leaves by sensing nitrogen nutrition

Transcript analyses reveal a comprehensive role of abscisic acid in modulating fruit ripening in Chinese jujube

CEMiTool: A Bioconductor package for performing comprehensive modular coexpression analyses

Pi-starvation induced transcriptional changes in barley revealed by a comprehensive RNA-Seq and degradome analyses

OSCA: A tool for omic-data-based complex trait analysis

The chromosomal evolution and analyses of Turkish Cousinia species

Comprehensive Experimental Analyses of Automotive Attack Surfaces

Comprehensive analyses of imprinted differentially methylated regions reveal epigenetic and genetic characteristics in hepatoblastoma

Comprehensive molecular profiling of Taiwanese breast cancers revealed potential therapeutic targets: Prevalence of actionable mutations among 380 targeted sequencing analyses
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