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Text Mining from Categorized Stem Cell Documents to Infer Developmental Stage-Specific Expression and Regulation Patterns of Stem Cells

  • Hyun Seok Park
  • Min Kyung Kim
  • Eun Jeong Choi
  • Young Joo Seol
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3513)

Abstract

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Hyun Seok Park
    • 1
    • 2
  • Min Kyung Kim
    • 1
  • Eun Jeong Choi
    • 1
  • Young Joo Seol
    • 2
    • 3
  1. 1.Department of Computer Science and EngineeringEwha UniversitySeoulKorea
  2. 2.Institute of BioinformaticsMacrogen IncSeoulKorea
  3. 3.School of Computer EngineeringSejong UniversitySeoulKorea

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