Turki Turki

Jeddah, 21589, Saudi Arabia

Last Updated: 09/26/2026

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Found 37 publications

Novel 4D Tensor Decomposition-Based Approach Integrating Tri-Omics Profiling Data Can Identify Functionally Relevant Gene Clusters.

Novel 4D Tensor Decomposition-Based Approach Integrating Tri-Omics Profiling Data Can Identify Functionally Relevant Gene Clusters.

Journal: Biology
Published: May 20, 2026

RHO GTPase by L1 GABAergic neurons in frontal cortex and L6 glutamatergic neurons in prefrontal cortex differentiates states of unconsciousness.

RHO GTPase by L1 GABAergic neurons in frontal cortex and L6 glutamatergic neurons in prefrontal cortex differentiates states of unconsciousness.

Journal: Scientific reports
Published: June 21, 2025

Gene and cell line efficiency of CRISPR computed by tensor decomposition in genome-wide CRISPR-Cas9 knockout screens.

Gene and cell line efficiency of CRISPR computed by tensor decomposition in genome-wide CRISPR-Cas9 knockout screens.

Journal: Scientific reports
Published: June 11, 2025

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

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

Journal: Scientific reports
Published: October 22, 2024

Novel large empirical study of deep transfer learning for COVID-19 classification based on CT and X-ray images.

Novel large empirical study of deep transfer learning for COVID-19 classification based on CT and X-ray images.

Journal: Scientific reports
Published: August 06, 2024

Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction.

Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction.

Journal: BMC bioinformatics
Published: June 01, 2024

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

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

Journal: Scientific reports
Published: September 12, 2023

Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction.

Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction.

Journal: Frontiers in artificial intelligence
Published: June 22, 2023

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

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

Journal: Diagnostics (Basel, Switzerland)
Published: April 01, 2023

Tensor decomposition discriminates tissues using scATAC-seq.

Tensor decomposition discriminates tissues using scATAC-seq.

Journal: Biochimica et biophysica acta. General subjects
Published: December 16, 2022

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.

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.

Journal: Genomics
Published: November 02, 2022

A new machine learning based computational framework identifies therapeutic targets and unveils influential genes in pancreatic islet cells.

A new machine learning based computational framework identifies therapeutic targets and unveils influential genes in pancreatic islet cells.

Journal: Gene
Published: September 16, 2022
Showing 1-12 of 37

Last Updated: 09/26/2026