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Identifying novel biomarkers through data mining—A realistic scenario?
Author(s) -
Griss Johannes,
PerezRiverol Yasset,
Hermjakob Henning,
Vizcaíno Juan Antonio
Publication year - 2015
Publication title -
proteomics – clinical applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 54
eISSN - 1862-8354
pISSN - 1862-8346
DOI - 10.1002/prca.201400107
Subject(s) - computer science , biomarker discovery , data mining , data science , proteomics , data integration , biology , biochemistry , gene
In this article we discuss the requirements to use data mining of published proteomics datasets to assist proteomics‐based biomarker discovery, the use of external data integration to solve the issue of inadequate small sample sizes and finally, we try to estimate the probability that new biomarkers will be identified through data mining alone.