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J-GLOBAL ID:201702241580374303   Reference number:17A0009575

Principal component analysis based unsupervised feature extraction applied to budding yeast temporally periodic gene expression

主成分分析を用いた教師なし学習による出芽酵母の時間周期遺伝子発現プロファイルの解析
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Volume: 2016  Issue: BIO-47  Page: Vol.2016-BIO-47,No.5,1-6 (WEB ONLY)  Publication year: Sep. 21, 2016 
JST Material Number: U0451A  Document type: Proceedings
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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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.
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Gene expression  ,  Artificial intelligence 
Reference (21):
  • Taguchi, Y. H.: Principal component analysis based unsupervised feature extraction applied to budding yeast temporally periodic gene expression, BioData Min, Vol. 9, p. 22 (2016).
  • 川野秀一, 廣瀬慧, 立石正平 and 小西貞則: 回帰モデリングとL1型正則化法の最近の展開, 日本統計学会誌, Vol.39, No.2, pp.211-242 (2010).
  • Taguchi, Y. H., Iwadate, M. and Umeyama, H.: SFRP1 is a possible candidate for epigenetic therapy in non-small cell lung cancer, BMC Med Genomics, Vol. 9 Suppl 1, p. 28 (2016).
  • Taguchi, Y. H.: Identification of More Feasible MicroRNA-mRNA Interactions within Multiple Cancers Using Principal Component Analysis Based Unsupervised Feature Extraction, Int J Mol Sci, Vol. 17, No. 5 (2016).
  • Taguchi, Y. H.: Identification of aberrant gene expression associated with aberrant promoter methylation in primordial germ cells between E13 and E16 rat F3 generation vinclozolin lineage, BMC Bioinformatics, Vol. 16 Suppl 18, p. S16 (2015).
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