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.
|Number of pages||4|
|Journal||Lecture Notes in Computer Science|
|State||Published - 2005|
|Event||10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005: Natural Language Processing and Information Systems - Alicante, Spain|
Duration: 15 Jun 2005 → 17 Jun 2005