Y-h Taguchi

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My recent presentaions are here https://speakerdeck.com/tagtag Y-h. Taguchi is currently physics professor at Chuo University, Tokyo, Japan. His current interest is bioinformatics, espcially focusing on integrated analysis of epigenetic markers in order to understand gene expression regulation. His current interest is bioinformatics, espcially focusing on integrated analysis of epigenetic markers in order to understand gene expression regulation. For that, he has recently proposed principal component analysis and tensor decomposition based unsupervised feature extraction that was fully described in his recent book: https://www.springer.com/jp/book/9783030224554

bioinformatics feature extraction 変数選択 feature selection tensor decomposition principal component analysis 主成分分析 mrna mirna テンソル分解 budding yeast 教師なし学習 biclustering in silico drug discovery unsupervised castes social insects bees ants cancer als microrna multi-view マルチオミックス遺伝子発現インシリコ創薬 non-small cell lung cancer heart failure ptsd gene expression nips2015 rfn 心的外傷後ストレス障害デング出血熱腎芽腫 wilm tumor metabolome biomarker icc hcc cell division cycle ptincipal component anaylsis 関節リュウマチ自己免疫疾患プロモーターメチル化皮膚筋炎 sfrp1 ismb2016 がん lda symbiotic protein pathogenic fams fold pca type iii secretion system

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Tensor decomposition based and principal component analysis based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social insects with multiple castes

6 years ago • 688 Views

主成分分析を用いた教師なし学習による筋萎縮性側索硬化症とがんの遺伝的関連性の解明

6 years ago • 679 Views

Tensor decompositionbased unsupervised feature extraction identified the universal nature of sequencenonspecific offtarget regulation of mRNA mediated by microRNA transfection

6 years ago • 538 Views

Tensor decomposition based unsupervised feature extraction applied to matrix products for multiview data processing

6 years ago • 398 Views

遺伝子発現プロファイルからの薬剤標的タンパクの統計的推定法の開発

6 years ago • 512 Views

Identification of Candidate Drugs for Heart Failure using Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Integrated Analysis of Gene Expression between Heart Failure and Drug Matrix Datasets

6 years ago • 205 Views

microRNA-mRNA interaction identification in Wilms tumor using principal component analysis based unsupervised feature extraction

7 years ago • 1327 Views

Comprehensive analysis of transcriptome andmetabolome analysis in Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma

7 years ago • 374 Views

Identification of aberrant gene expression associated with aberrant promoter methylation in primordial germ cells between E13 and E16 rat F3 generation vinclozolin lineage

8 years ago • 500 Views

Y-h Taguchi

Tensor decomposition based and principal component analysis based unsupervised feature extraction applied to the gene expression and methylation profiles in the brains of social insects with multiple castes

主成分分析を用いた教師なし学習による筋萎縮性側索硬化症とがんの遺伝的関連性の解明

Tensor decompositionbased unsupervised feature extraction identified the universal nature of sequencenonspecific offtarget regulation of mRNA mediated by microRNA transfection

Tensor decomposition based unsupervised feature extraction applied to matrix products for multiview data processing

遺伝子発現プロファイルからの薬剤標的タンパクの統計的推定法の開発

Identification of Candidate Drugs for Heart Failure using Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Integrated Analysis of Gene Expression between Heart Failure and Drug Matrix Datasets

Rectified factor networks for biclustering of omics data

テンソル分解を用いた教師なし学習による変数選択

主成分分析を用いた教師なし学習による変数選択を用いたヒストン脱アセチル化酵素阻害剤の機能探索

『主成分分析を用いた教師なし学習による変数選択』を用いたデング出血熱原因遺伝子の推定

miRNA-mRNA相互作用同定を用いた腎芽腫関連遺伝子の推定

Principal component analysis based unsupervised feature extraction applied to bioinformatics analysis

microRNA-mRNA interaction identification in Wilms tumor using principal component analysis based unsupervised feature extraction

Comprehensive analysis of transcriptome andmetabolome analysis in Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma

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

PCAを用いた2群の有意差検定

SFRP1 is a possible candidate for epigenetic therapy in nonsmall cell lung cancer

A cross-species bi-clustering approach to identifying conserved co-regulated genes

主成分分析を用いた教師なし学習による変数選択法を用いたがんにおけるmRNA-miRNA相互作用のより信頼性のある同定

Identification of aberrant gene expression associated with aberrant promoter methylation in primordial germ cells between E13 and E16 rat F3 generation vinclozolin lineage