Art
J-GLOBAL ID:202002286453585674   Reference number:20A1608299

DDBJ Data Analysis Challenge: a machine learning competition to predict Arabidopsis chromatin feature annotations from DNA sequences

DDBJデータ解析チャレンジ:DNA配列からのArabidopsisクロマチン特徴アノテーションを予測するための機械学習競争
Author (15):
Material:
Volume: 95  Issue:Page: 43-50(J-STAGE)  Publication year: 2020 
JST Material Number: F0386A  ISSN: 1341-7568  Document type: Article
Article type: 解説  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
Thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
,...
Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
,...
   To see more with JDream III (charged).   {{ this.onShowAbsJLink("http://jdream3.com/lp/jglobal/index.html?docNo=20A1608299&from=J-GLOBAL&jstjournalNo=F0386A") }}
JST classification (4):
JST classification
Category name(code) classified by JST.
Structure and chemistry of genes  ,  Research methods in genetics  ,  Artificial intelligence  ,  Molecular and genetic information processing 
Reference (37):
  • Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., et al. (2015) TensorFlow: Large-scale machine learning on heterogeneous distributed systems. Software available from tensorflow.org. arXiv:1603.04467.
  • Baba, Y., Takase, T., Atarashi, K., Oyama, S., and Kashima, H. (2018) Data analysis competition platform for educational purposes: lessons learned and future challenges. Proceedings of the 8th Symposium on Educational Advances in Artificial Intelligence 2018 (EAAI-18), 7887-7892.
  • Bender, E. (2016) Challenges: crowdsourced solutions. Nature 533, S62-S64.
  • Bernstein, B. E., Stamatoyannopoulos, J. A., Costello, J. F., Ren, B., Milosavljevic, A., Meissner, A., Kellis, M., Marra, M. A., Beaudet, A. L., Ecker, J. R., et al. (2010) The NIH roadmap epigenomics mapping consortium. Nat. Biotechnol. 28, 1045-1048.
  • Bochare, A., Gangopadhyay, A., Yesha, Y., Joshi, A., Yesha, Y., Brady, M., Grasso, M. A., and Rishe, N. (2014) Integrating domain knowledge in supervised machine learning to assess the risk of breast cancer. Int. J. Med. Eng. Inform. 6, 87-99.
more...

Return to Previous Page