Publications by authors named "Turki Turki"

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RHO GTPase by L1 GABAergic neurons in frontal cortex and L6 glutamatergic neurons in prefrontal cortex differentiates states of unconsciousness.
Y-H Taguchi, Turki Turki

Sci Rep· December 2025

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Novel AI-powered computational method using tensor decomposition for identification of common optimal bin sizes when integrating multiple Hi-C datasets.
Y-H Taguchi, Turki Turki

Sci Rep· March 2025

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Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction.
Y-H Taguchi, Turki Turki

BMC Bioinformatics· December 2024

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Novel large empirical study of deep transfer learning for COVID-19 classification based on CT and X-ray images.
Mansour Almutaani, Turki Turki, Y-H Taguchi

Sci Rep· November 2024

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A novel interpretable deep transfer learning combining diverse learnable parameters for improved T2D prediction based on single-cell gene regulatory networks.
Sumaya Alghamdi, Turki Turki

Sci Rep· February 2024

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Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction.
Y-H Taguchi, Turki Turki

Front Artif Intell· September 2023

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Tensor decomposition discriminates tissues using scATAC-seq.
Y-H Taguchi, Turki Turki

Biochim Biophys Acta Gen Subj· June 2023

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Applying Deep Transfer Learning to Assess the Impact of Imaging Modalities on Colon Cancer Detection.
Wael Alhazmi, Turki Turki

Diagnostics (Basel)· May 2023

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Principal component analysis- and tensor decomposition-based unsupervised feature extraction to select more suitable differentially methylated cytosines: Optimization of standard deviation versus state-of-the-art methods.
Y-H Taguchi, Turki Turki

Genomics· March 2023

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A new machine learning based computational framework identifies therapeutic targets and unveils influential genes in pancreatic islet cells.
Turki Turki, Y-H Taguchi

Gene· February 2023

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A tensor decomposition-based integrated analysis applicable to multiple gene expression profiles without sample matching.
Y-H Taguchi, Turki Turki

Sci Rep· December 2022

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Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools.
Y-H Taguchi, Turki Turki

PLoS One· October 2022

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Adapted tensor decomposition and PCA based unsupervised feature extraction select more biologically reasonable differentially expressed genes than conventional methods.
Y-H Taguchi, Turki Turki

Sci Rep· October 2022

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Integrated Analysis of Tissue-Specific Gene Expression in Diabetes by Tensor Decomposition Can Identify Possible Associated Diseases.
Y-H Taguchi, Turki Turki

Genes (Basel)· June 2022

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Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis.
Y-H Taguchi, Turki Turki

BMC Med Genomics· February 2022

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Effects of Collagen-Glycosaminoglycan Mesh on Gene Expression as Determined by Using Principal Component Analysis-Based Unsupervised Feature Extraction.
Y-H Taguchi, Turki Turki

Polymers (Basel)· November 2021

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Unsupervised tensor decomposition-based method to extract candidate transcription factors as histone modification bookmarks in post-mitotic transcriptional reactivation.
Y-H Taguchi, Turki Turki

PLoS One· October 2021

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The risk of tuberculosis infection in 410 Saudipatients receiving adalimumab therapy.
Abdullah Al-Sohaim, Abdullah Saleh Bawazir, Turki Al-Turki, Eiman Omar Alsafi, Abdullah Al-Roqy

Ann Saudi Med· October 2021

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Tensor-Decomposition-Based Unsupervised Feature Extraction in Single-Cell Multiomics Data Analysis.
Y-H Taguchi, Turki Turki

Genes (Basel)· September 2021

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Novel method for the prediction of drug-drug Interaction based on gene expression profiles.
Yh Taguchi, Turki Turki

Eur J Pharm Sci· May 2021

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Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application.
Turki Turki, Y-H Taguchi

Comput Biol Med· May 2021

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Application of Tensor Decomposition to Gene Expression of Infection of Mouse Hepatitis Virus Can Identify Critical Human Genes and Efffective Drugs for SARS-CoV-2 Infection.
Y-H Taguchi, Turki Turki

IEEE J Sel Top Signal Process· April 2021

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Tensor-Decomposition-Based Unsupervised Feature Extraction Applied to Prostate Cancer Multiomics Data.
Y-H Taguchi, Turki Turki

Genes (Basel)· December 2020

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A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction.
Y-H Taguchi, Turki Turki

PLoS One· September 2020

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Universal Nature of Drug Treatment Responses in Drug-Tissue-Wide Model-Animal Experiments Using Tensor Decomposition-Based Unsupervised Feature Extraction.
Yh Taguchi, Turki Turki

Front Genet· August 2020

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