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Avatar for Y-h. Taguchi

Y-h. Taguchi

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Application of tensor decomposition based unsupervised feature extraction to multi-omics data set
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Principal component analysis and tensor decomposition based unsupervised feature extraction applied to single cell RNA-seq
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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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教師なしAIが拓くゲノム解析の新時代
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260
Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology
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260
Multiomics Data Analysis Using Tensor Decomposition Based Unsupervised Feature Extraction –Comparison with DIABLO–
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190
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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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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290
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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Tensor decomposition approach for Bioinformatic data analysis
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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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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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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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170
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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550
Principal Component Analysis-Based Unsupervised Feature Extraction Applied to Single Cell Gene Expression Analysis
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190
GSEA-InContext: identifying novel and common patterns in expression experiments
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310
テンソル分解を用いた教師無し学習による 変数選択法のバイオインフォマティクスへの応用
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250
Principal component analysis (PCA) and tensor decomposition (TD) based unsupervised feature extraction (FE) applied to bioinformatics analysis
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180

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