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BMC Medical Genomics|February 25, 2022
Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysisY-H Taguchi, Turki TurkiGenes|September 28, 2021
Tensor-Decomposition-Based Unsupervised Feature Extraction in Single-Cell Multiomics Data AnalysisY-H Taguchi, Turki TurkiScientific Reports|December 9, 2022
A tensor decomposition-based integrated analysis applicable to multiple gene expression profiles without sample matchingY-H Taguchi, Turki TurkiGene|December 12, 2022
A new machine learning based computational framework identifies therapeutic targets and unveils influential genes in pancreatic islet cellsTurki Turki, Y-H TaguchiPlos One|September 11, 2020
A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extractionY-H Taguchi, Turki TurkiComputers in Biology and Medicine|March 17, 2020
SCGRNs: Novel supervised inference of single-cell gene regulatory networks of complex diseasesTurki Turki, Y-H TaguchiScientific Reports|December 9, 2025
RHO GTPase by L1 GABAergic neurons in frontal cortex and L6 glutamatergic neurons in prefrontal cortex differentiates states of unconsciousnessY-H Taguchi, Turki TurkiBiology|July 28, 2026
Novel 4D Tensor Decomposition-Based Approach Integrating Tri-Omics Profiling Data Can Identify Functionally Relevant Gene ClustersTurki Turki, Y-H TaguchiFrontiers in Artificial Intelligence|September 18, 2023
Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extractionY-H Taguchi, Turki TurkiPlos One|September 29, 2022
Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection toolsY-H Taguchi, Turki TurkiPageof 11