Text Mining from Categorized Stem Cell Documents to Infer Developmental Stage-Specific Expression and Regulation Patterns of Stem Cells
Exponentially increasing stem cell data provide means to elucidate the system level understanding of differentiation. Given the existing information on biological networks combined with huge amount of literature data, inferring stem cell information through scientific reasoning of data from on-line documents would get great attention. In this paper, we describe the STEMWAY system for combining known interaction informatics with text mining techniques. Especially, recent advances in natural language processing technique raise new challenges and opportunities for extracting valuable information from literature classified by the developmental stages of stem cells.
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