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Text categorization is a key problem of text mining. Although there are many research on this problem, the main works are focused on classification of big categories. There are very few researches on text categorization problems characterised by many redundant features. We call this kind of problem as fine-text-categorization. In this paper, we presented an(More)
Semantic similarity between two words is a fundamental issue for many natural language processing applications. The difficulty lies in that how to develop a computational method that is capable of generating satisfactory results close to what humans would perceive. In this paper, we proposed a novel approach to measure the semantic similarity between two(More)
Hepatocellular carcinoma (HCC) is the second leading cause of cancer mortality and carries a dismal prognosis. The present study aimed to identify the tumour-suppressive role and clinical implications of PTPN13 in HCC progression. We tested the effects of PTPN13 expression in proliferation, invasion, epithelial–mesenchymal transition and associated pathways(More)
Acute rejection (AR) and acceptance of allograft after liver transplantation (LTx) remain critical issues that need addressing to improve prognosis. We therefore performed rat orthotopic LTx and proteomic analyses to screen for immune response-related biomarkers in sera. Markers identified were validated at the mRNA and/or protein levels, and the molecules(More)
Text categorization is a key issue of text mining. Although there are many studies on this problem, the majority of them are focused on classification of rough categories. In this kind of problem, there are obviously different features that can differentiate one category from others. Only very few researches concerned fine text categorization (FTC) problem(More)
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