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Molecular profiling of thyroid cancer subtypes using large-scale text mining
2014
BMC Medical Genomics
Thyroid cancer is the most common endocrine tumor with a steady increase in incidence. It is classified into multiple histopathological subtypes with potentially distinct molecular mechanisms. Identifying the most relevant genes and biological pathways reported in the thyroid cancer literature is vital for understanding of the disease and developing targeted therapeutics. Results: We developed a large-scale text mining system to generate a molecular profiling of thyroid cancer subtypes. The
doi:10.1186/1755-8794-7-s3-s3
pmid:25521965
pmcid:PMC4290788
fatcat:ga2yy4owpfcmjbsuuly4tei2r4