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Y-h. Taguchi

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8 Stars

Decks

Tensor decomposition based unsupervised feature extraction with optimized standard deviation applied to identification of differential gene expression, DNA methylation and histone modification
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テンソル分解に基づく教師なし特徴抽出による新型コロナウイルス（SARS-CoV-2）に対する新しい先進的in silico創薬手法の提案
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生命はデジタルでできている
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生命はデジタルでできている
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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前立腺がんマルチオミックスデータ解析への応用
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Tensor decomposition based unsupervised feature extraction with optimized standard deviation applied to differentially expressed genes, DNA methylation and histone modification
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190
Drug repositioning for SARS-CoV-2 with tensor decomposition based unsupervised feature extraction
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腎臓明細胞癌のmiRNA指標のテンソル分解による解析
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主成分分析及びテンソル分解を用いた教師無し学習による変数選択法とそのバイオインフォマティクスへの応用
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Study of N6-methyladenosine using tensor decomposition-based unsupervised feature extraction
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テンソル分解を用いた教師なし学習による変数選択法を用いた 薬物組織全体のモ デル動物実験における薬物治療反応の普遍性
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Integrated Analysis of single cell multi omics data sets using tensor decomposition based unsupervised feature extraction
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Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools
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Tensor-Decomposition-based Unsupervised Feature Extraction in Single-cell Multiomics Data Analysis
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テンソル分解を用いた遺伝子発現からの神経疾患の創薬
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MATHEMATICAL FORMULATION AND APPLICATION OF KERNEL TENSOR DECOMPOSITION BASED UNSUPERVISED FEATURE EXTRACTION
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Tensor-Decomposition-Based Unsupervised Feature Extraction Applied to Prostate Cancer Multiomics Data
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The Big Data Situation in Japan (and other Asian countries)
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