Surface Molecular Markers of Cancer Stem Cells: Computation Analysis of Full-Text Scientific Articles

R. E. Suvorov, Ya S. Kim, A. M. Gisina, J. H. Chiang, K. N. Yarygin, A. Yu Lupatov

研究成果: Article同行評審

9 引文 斯高帕斯(Scopus)

摘要

The data on cancer stem cell surface molecular markers of 27 most common cancer diseases were analyzed using natural language processing and data mining techniques. As a source, 8933 full-text open-access English-language scientific articles available on the Internet were used. Text mining was based on searching for three entities within one sentence, namely a tumor name, a phrase “cancer stem cells” or its synonym, and a name of differentiation cluster molecule. As a result, a list of surface molecular markers was formed that included markers most frequently mentioned in the context of certain tumor diseases and used in studies of human and animal tumor cells. Based on similarity of the associated markers, the tumors were divided into five groups.

原文English
頁(從 - 到)135-140
頁數6
期刊Bulletin of Experimental Biology and Medicine
166
發行號1
DOIs
出版狀態Published - 2018 11月 1

All Science Journal Classification (ASJC) codes

  • 一般生物化學,遺傳學和分子生物學

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