MiningBreastCancer: Selection of Candidate Gene Associated with Breast Cancer via Comparison between Data Mining of TCGA and Text Mining of PubMed

Chou Cheng Chen, Yao Lung Kuo, Chi Hui Chiang

研究成果: Conference contribution

摘要

In 2016, 12,676 new cases of breast cancer were diagnosed among Taiwan women. In 2018 the standardized death rate of breast cancer was 12.5 per 100,000 persons. Previous studies have integrated data and text mining to yield fusion genes, identify genetic factors for breast cancer and select single-gene feature sets for colon cancer discrimination. However, our study is the first to select significantly different expression between breast normal tissue and cancer using TCGA data and biostatistics, excluding know genes using abstracts from PubMed and natural language processing. The top twenty genes for research potential from the selection of Mining-BreastCancer are EML3, ABCB9, GRASP, KANK3, GPR146, ZNF623, CCDC9, ADCY4, DLL1, ADAM33, GRRP1, LRRN4CL, C14orf180, ABCD4, ABCC6P1, PEAR1, FAM43A, C20orf160, KIF21A and PP-FIA3. Few studies for these genes exist, but they hold significantly different expressions between breast cancer and normal tissue, each pathologic tumor and lymph node, or between each pathologic metastasis. These results show that MiningBreastCancer can help scientists select genes for research potential. MiningBreastCancer is available through http://bio.yungyun.com.tw/MiningBreastCancer.aspx.

原文English
主出版物標題Proceedings of 2020 ACM International Conference on Intelligent Computing and its Emerging Applications, ICEA 2020
發行者Association for Computing Machinery
ISBN(電子)9781450383042
DOIs
出版狀態Published - 2020 12月 12
事件2020 ACM International Conference on Intelligent Computing and its Emerging Applications, ICEA 2020 - Virtual, Online, Korea, Republic of
持續時間: 2020 12月 122020 12月 15

出版系列

名字ACM International Conference Proceeding Series

Conference

Conference2020 ACM International Conference on Intelligent Computing and its Emerging Applications, ICEA 2020
國家/地區Korea, Republic of
城市Virtual, Online
期間20-12-1220-12-15

All Science Journal Classification (ASJC) codes

  • 軟體
  • 人機介面
  • 電腦視覺和模式識別
  • 電腦網路與通信

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