TY - JOUR
T1 - Surface Molecular Markers of Cancer Stem Cells
T2 - Computation Analysis of Full-Text Scientific Articles
AU - Suvorov, R. E.
AU - Kim, Ya S.
AU - Gisina, A. M.
AU - Chiang, J. H.
AU - Yarygin, K. N.
AU - Lupatov, A. Yu
N1 - Funding Information:
The study was performed within the framework of the Program for Basic Research of State Academies of Sciences for 2013-2020. The development of data mining algorithms and platforms was supported by the Russian Foundation for Basic Research (grant No. 15-59-31516 RT-omi)
Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2018/11/1
Y1 - 2018/11/1
N2 - 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.
AB - 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.
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U2 - 10.1007/s10517-018-4302-8
DO - 10.1007/s10517-018-4302-8
M3 - Article
C2 - 30417283
AN - SCOPUS:85056330208
SN - 0007-4888
VL - 166
SP - 135
EP - 140
JO - Bulletin of Experimental Biology and Medicine
JF - Bulletin of Experimental Biology and Medicine
IS - 1
ER -