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Y-h. Taguchi

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Decks

Tensor decomposition based unsupervised feature extraction applied to drug discovery from gene expression analysis
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90
テンソル分解を用いた教師無し学習による変数選択法の一細胞 RNA-seq解析への応用
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200
バイオインフォマティクスと倫理・社会
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120
Tensor Decomposition-based Unsupervised Feature Extraction for Integrated Analysis of TCGA Data on MicroRNA Expression and Promoter Methylation of Genes in Ovarian Cancer
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57
Tensor decomposition based unsupervised feature extraction applied to bioinformatics
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190
Application of tensor decomposition based unsupervised feature extraction to multi-omics data set
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主成分分析及びテンソル分解を用いた教師なし学習による 変数選択法の一細胞RNA-seqデータ解析
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370
Principal component analysis and tensor decomposition based unsupervised feature extraction applied to single cell RNA-seq
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86
教師なしAIが拓くゲノム解析の新時代
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210
Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology
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200
Multiomics Data Analysis Using Tensor Decomposition Based Unsupervised Feature Extraction –Comparison with DIABLO–
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130
AI(人工知能）の過去・現在・未来―AIは人間を超えるのか―
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260
主成分分析を用いた教師無し学習による変数選択の一細胞RNA-seqへの応用
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120
筋萎縮性側索硬化症のための マイクロRNAバイオマーカーの探索
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120
Tensor decomposition approach for Bioinformatic data analysis
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51
Tensor Decomposition-based Unsupervised Feature Extraction for Integrated Analysis of TCGA Data on MicroRNA Expression and Promoter Methylation of Genes in Ovarian Cancer
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49
Drug candidate identifcation based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data
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52
疾患とDrugMatrixデータセットとの間の 遺伝子発現の統合解析における テンソル分解を用いた教師なし学習による変数選択 を用いた候補薬物の同定
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110

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