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The principal component analysis (PCA) [ 32] is usually used on text mining to reduce the data dimensionality with a minimum risk of information loss.
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PubMed is a well-known biomedical literature repository that is widely used for text mining.
Like all results tables, the publications data can be exported and potentially used for text mining.
In this section, we will outline some of the problems we encounter in curation and describe how they could impact on the use of text mining in FlyBase.
Such analysis is facilitated through use of text mining techniques, ranging from simple statistical pattern learning based on term frequencies, to complex natural language processing techniques in order to produce text categorization, document summarization, information retrieval, and ultimately the data mining [ 6].
In the second process, the full texts of papers are imported into Xenbase's Textpresso (3) text mining and search tool (see 'Use of text mining tools' section).
Although the most effective integration of text mining with the InSiGHT workflow is yet to be determined, the InSiGHT curators are interested in making use of text mining.
Documents are processed into Textpresso (see 'Use of text mining tools' section).
We also describe our curation platform and the use of text mining tools in our workflow.
Uncurated pathway analysis based on text mining has its limitations.
There are only few reports on text mining approaches in the biomarkers field [ 14– 16].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com