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- GENEvaRX: A novel AI-driven method and web tool can identify critical genes and effective drugs for Lichen Planus
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- You can perform tensor analysis without knowing about tensor
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- Tensor decomposition can integrate gene expression and protein-protein interaction
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- Tensor decomposition can process histone modification profiles better than SOTA
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- Integrated analysis of human DNA methylation, gene expression, and genomic variation in iMETHYL database using kernel tensor decomposition-based unsupervised feature extraction
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- Tensor decomposition discriminates tissues using scATAC-seq
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- TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction
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- The link between gene expression and machine learning
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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
- Advanced tensor decomposition-based integrated analysis of protein-protein interaction with cancer gene expression can improve coincidence with clinical labels
Article
- GENEvaRX: A Novel AI-Driven Method and Web Tool Can Identify Critical Genes and Effective Drugs for Lichen Planus
- Features extracted using tensor decomposition reflect the biological features of the temporal patterns of human blood multimodal metabolome
- Bioinformatic tools for epitranscriptomics
- A new machine learning based computational framework identifies therapeutic targets and unveils influential genes in pancreatic islet cells
- Kernel Tensor Decomposition can improve the drug discovery process
- Integrative Meta-Analysis of Huntington’s Disease Transcriptome Landscape
- A tensor decomposition-based integrated analysis applicable to multiple gene expression profiles without sample matching
- microRNA Bioinformatics
- Adapted tensor decomposition and PCA based unsupervised feature extraction select more biologically reasonable differentially expressed genes than conventional methods
- Slight changes can improve much for algorithms looking at gene expressions
Article
- Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools
- Suppression of intrahepatic cholangiocarcinoma cell growth by SKI via upregulation of the CDK inhibitor p21
- Estimation of Metabolic Effects upon Cadmium Exposure during Pregnancy Using Tensor Decomposition
- Exploring Plausible Therapeutic Targets for Alzheimer's Disease using Multi-omics Approach, Machine Learning and Docking
- Tensor Decomposition Discriminates Tissues Using scATAC-seq
- Integrated Analysis of Tissue-Specific Gene Expression in Diabetes by Tensor Decomposition Can Identify Possible Associated Diseases
- Features extracted using tensor decomposition reflect the biological features of the temporal patterns of human blood multimodal metabolome
- Integrated Analysis of Tissue-specific Gene Expression in Diabetes by Tensor Decomposition Can Identify Possible Associated Diseases
Article
- A new machine learning based computational framework identifies therapeutic targets and unveils influential genes in pancreatic islet cells
Article
- Tensor Decomposition and Principal Component Analysis-Based Unsupervised Feature Extraction Outperforms State-of-the-Art Methods When Applied to Histone Modification Profiles
- 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
- Tumor Heterogeneity and Molecular Characteristics of Glioblastoma Revealed by Single-Cell RNA-Seq Data Analysis
- Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis
- Tensor decomposition- and principal component analysis-based unsupervised feature extraction to select more reasonable differentially expressed genes: Optimization of standard deviation versus state-of-art methods
- RNA m6A modification and microRNAs
Article
- Handbook of Machine Learning Applications for Genomics
- In Silico Drug Discovery Using Tensor Decomposition Based Unsupervised Feature Extraction
- Multiomics Data Analysis of Cancers Using Tensor Decomposition and Principal Component Analysis Based Unsupervised Feature Extraction
- Sincle Cell RNA-seq Analysis Using Tensor Decomposition and Principal Component Analysis Based Unsupervised Feature Extraction
- Effects of Collagen–Glycosaminoglycan Mesh on Gene Expression as Determined by Using Principal Component Analysis-Based Unsupervised Feature Extraction
- Identification of Enhancers and Promoters in the Genome by Multidimensional Scaling
- Effects of the collagen–glycosaminoglycan mesh on gene expression as determined by using principal component analysis-based unsupervised feature extraction
- Tensor-Decomposition-Based Unsupervised Feature Extraction in Single-Cell Multiomics Data Analysis
- PCA-based unsupervised feature extraction for gene expression analysis of COVID-19 patients
- Tensor-decomposition–based unsupervised feature extraction in single-cell multiomics data analysis
- RNA-Seq data analysis for Planarian with tensor decomposition-based unsupervised feature extraction
- Unsupervised tensor decomposition-based method to extract candidate transcription factors as histone modification bookmarks in post-mitotic transcriptional reactivation
- Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis
- Novel method for the prediction of drug-drug Interaction based on gene expression profiles
- Discriminating the single-cell gene regulatory networks of human pancreatic islets: A novel deep learning application
- Identification of genes associated with altered gene expression and m6A profiles during hypoxia using tensor decomposition based unsupervised feature extraction
- Editorial: miRNAs and Neurological Diseases
- End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images
- 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
- Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction
- End-to-End Deep Learning for Detecting Metastatic Breast Cancer in Axillary Lymph Node from Digital Pathology Images
- In Silico Drug Discovery for COVID-19 Using an Unsupervised Feature Extraction Method
- Identification of Transcription Factors, Biological Pathways, and Diseases as Mediated by N6-methyladenosine Using Tensor Decomposition-Based Unsupervised Feature Extraction
- Tensor-Decomposition-Based Unsupervised Feature Extraction Applied to Prostate Cancer Multiomics Data
- Comprehensive analysis of liver and blood miRNA in precancerous conditions
- Developing a diagnostic method for latent tuberculosis infection using circulating miRNA
- Mathematical formulation and application of kernel tensor decomposition based unsupervised feature extraction
- Projection in genomic analysis: A theoretical basis to rationalize tensor decomposition and principal component analysis as feature selection tools
- Unsupervised tensor decomposition-based method to extract candidate transcription factors as histone modification bookmarks in post-mitotic transcriptional reactivation
- Identification of miRNA signatures for kidney renal clear cell carcinoma using the tensor-decomposition method
- A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction
- Discriminating the Single-cell Gene Regulatory Networks of Human Pancreatic Islets: A Novel Deep Learning Application
- Universal Nature of Drug Treatment Responses in Drug-Tissue-Wide Model-Animal Experiments Using Tensor Decomposition-Based Unsupervised Feature Extraction
- Unsupervised feature extraction applied to bioinformatics
- Tensor-decomposition-based unsupervised feature extraction applied to prostate cancer multiomics data
- Incremental Dilations Using CNN for Brain Tumor Classification
- Novel Method for Detection of Genes With Altered Expression Caused by Coronavirus Infection and Screening of Candidate Drugs for SARS-CoV-2
- A New Advanced In silico Drug Discovery Method for Novel Coronavirus (SARS-CoV-2) with Tensor Decomposition-based Unsupervised Feature Extraction
- Novel analysis of drug-drug interactions reveals the appearance of non-linear dose dependence under the single drug treatment
- Identifying suitable tools for variant detection and differential gene expression using RNA-seq data
- A New Advanced In Silico Drug Discovery Method for Novel Coronavirus (SARS-CoV-2) with Tensor Decomposition-Based Unsupervised Feature Extraction
- Novel Method for Detection of Genes With Altered Expression Caused by Coronavirus Infection and Screening of Candidate Drugs for SARS-CoV-2
- Author Correction: Development of a novel anti-hepatitis B virus agent via Sp1
- Universal nature of drug treatment responses in drug-tissue-wide model-animal experiments using tensor decomposition-based unsupervised feature extraction
- SCGRNs: Novel supervised inference of single-cell gene regulatory networks of complex diseases
- Neurological Disorder Drug Discovery from Gene Expression with Tensor Decomposition
Article
- Development of a novel anti-hepatitis B virus agent via Sp1
- Unsupervised Feature Extraction Applied to Bioinformatics
- Investigating the energy crisis in Alzheimer disease using transcriptome study
- Identification of miRNA signatures for kidney renal clear cell carcinoma using the tensor-decomposition method
- Tensor Decomposition Based Unsupervised Feature Extraction Applied to Bioinformatics
- Discovery of a Robust Gene Regulatory Network with a Complex Transcription Factor Network on Organ Cancer Cell-line RNA Sequence Data
- Tensor Decomposition-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis
- Neurological disorder drug discovery from gene expression with tensor decomposition
- Tensor decomposition-Based Unsupervised Feature Extraction Applied to Single-Cell Gene Expression Analysis
- Regulatory microRNA
- Multiomics data analysis using tensor decomposition based unsupervised feature extraction --Comparison with DIABLO--
- Drug candidate identification based on gene expression of treated cells using tensor decomposition-based unsupervised feature extraction for large-scale data
- Machine Learning Algorithms for Predicting Drugs–Tissues Relationships
- Multiomics Data Analysis Using Tensor Decomposition Based Unsupervised Feature Extraction
- Exploring MicroRNA Biomarkers for Parkinson’s Disease from mRNA Expression Profiles
- How can we recognize correlation between distinct levels of omics data sets?
- How can we recognize correlation between distinct levels of omics data sets?
- Correction: Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing
- miRNA mediated sequence non-specific off-target regulation can play critical biological roles.
- Exploring the selective vulnerability in Alzheimer disease using tissue specific variant analysis
- How to select critical genes in scRNA-seq by using unsupervised methods.
- Epigenetic effect turned out to form castes in social insects based upon bioinformatics
- How can we identify Amyotrophic Lateral Sclerosis with blood test?
- Collaborative environmental DNA sampling from petal surfaces of flowering cherry Cerasus × yedoensis ‘Somei-yoshino’ across the Japanese archipelago
- Comparative Transcriptomics Analysis
- Regulation of Gene Expression
- How to select critical genes in scRNA-seq by using unsupervised methods.
- How we can identify genes that induce post-traumatic stress disorder (PTSD) mediated heart failure?
- How to find drug from gene expression of human and animal gene expression
- One-class Differential Expression Analysis using Tensor Decomposition-based Unsupervised Feature Extraction Applied to Integrated Analysis of Multiple Omics Data from 26 Lung Adenocarcinoma Cell Lines
- Why ALS is often associated with cancers?
- An iterative compound screening contest method for identifying target protein inhibitors using the tyrosine-protein kinase Yes
- Tensor decomposition-based unsupervised feature extraction applied to matrix products for multi-view data processing
- Expression of Serum Exosomal and Esophageal MicroRNA in Rat Reflux Esophagitis
- Collaborative environmental DNA sampling from petal surfaces of flowering cherry Cerasus × yedoensis 'Somei-yoshino' across the Japanese archipelago
- Principal component analysis based unsupervised feature extraction applied to bioinformatics analysis
- 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 DrugMatrix Datasets
- Principal Components Analysis Based Unsupervised Feature Extraction Applied to Gene Expression Analysis of Blood from Dengue Haemorrhagic Fever Patients
- Microarray analysis of circulating microRNAs in familial Mediterranean fever
- 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 DrugMatrix Datasets
- Principal component analysis based unsupervised feature extraction applied to publicly available gene expression profiles provides new insights into the mechanisms of action of histone deacetylase inhibitors
- microRNA-mRNA Interaction Identification in Wilms Tumor Using Principal Component Analysis Based Unsupervised Feature Extraction
- SFRP1 is a possible candidate for epigenetic therapy in non-small cell lung cancer
- Comparative Gene Expression Analysis of Mouse and Human Cardiac Maturation
- Principal component analysis based unsupervised feature extraction applied to budding yeast temporally periodic gene expression
- microRNA-mRNA interaction identification in Wilms tumor using principalcomponent analysis based unsupervised feature extraction
- Identification of More Feasible MicroRNA–mRNA Interactions within Multiple Cancers Using Principal Component Analysis Based Unsupervised Feature Extraction
- Critical Assessment of inhibitors identification followed by wet confirmation
- Integration of metabolome and transcriptome of liver cancer
- Heuristic principal component analysis-based unsupervised feature extraction and its application to gene expression analysis of amyotrophic lateral sclerosis data sets
- Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease
- MicroRNA expression in hepatocellular carcinoma after the eradication of chronic hepatitis virus C infection using interferon therapy
- Exploring effective multiplicity in multichannel functional near-infrared spectroscopy using eigenvalues of correlation matrices
- Apparent microRNA-Target-specific Histone Modification in Mammalian Spermatogenesis
- In silico Spleen Tyrosine Kinase Inhibitor Screening by ChooseLD
- Identification of aberrant gene expression associated with aberrant promoter methylation in primordial germ cells between E13 and E16 rat F3 generation vinclozolin lineage
- Comparison of Hepatocellular Carcinoma miRNA Expression Profiling as Evaluated by Next Generation Sequencing and Microarray
- Universal disease biomarker: can a fixed set of blood microRNAs diagnose multiple diseases?
- TINAGL1 and B3GALNT1 are potential therapy target genes to suppress metastasis in non-small cell lung cancer
- Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets
- Bacterial Type III Secretion System Effector Proteins are Distinct between Plant Symbiotic, Plant Pathogenic and Animal Pathogenic Bacteria
- Integrative Analysis of Gene Expression and Promoter Methylation during Reprogramming of a Non-Small-Cell Lung Cancer Cell Line Using Principal Component Analysis-Based Unsupervised Feature Extraction
- Correlation between miRNA-targeted-gene promoter methylation and miRNA regulation of target genes
- Bininformatics identification of promoters commonly associated with three autoimmune diseases
- Principal Component Analysis Based Feature Extraction Approach to Identify Circulating microRNA Biomarkers
- Correlation between miRNA-targeted-gene promoter methylation and miRNA regulation of target genes
- Correlation between miRNA-targeting-specific promotermethylation and miRNA regulation of target genes
- Possible miRNA Coregulation of Target Genes in Brain Regions by Both Differential miRNA Expression and miRNA-Targeting-Specific Promoter Methylation
- MicroRNA-mediated regulation of target genes in several brain regions is correlated to both microRNA-targeting-specific promoter methylation and differential microRNA expression
- Comprehensive miRNA Expression Analysis in Peripheral Blood Can Diagnose Liver Disease
- Principal Component Analysis for Bacterial Proteomic Analysis
- MiRaGE: Inference of Gene Expression Regulation via MicroRNA Transfection II
- Inference of Target Gene Regulation via miRNAs during Cell Senescence by Using the MiRaGE Server
- Inference of Gene Regulation via miRNAs During ES Cell Differentiation Using MiRaGE Method
- Tissue specific methylation and genotype
- The analysis of DNA shuffling by nMDS
- Principal component analysis for bacterial proteomic analysis
- Gene expression regulation during differentiation from murine ES cells due to microRNA
- Feature extraction for discriminance of symbiotic/parasitic bacterial type III effector protein using principal component analysis
- Protein binding prediction using non-metric multidimensional scaling method
- Inference of Gene Expression Regulation via microRNA Transfection
- Gene Ontology term prediction based upon amino acid occurrence
- Nonmetric Distances for Barcode of Life
- Application of amino acid occurrence for discriminating different folding types of globular proteins
- Temperature measurement under convection and segregation in a vibrated bed of powder: A numerical study
- Some implications of renormalization group theoretical ideas to statistics
- Nonmetric Multidimensional Scaling As a Data-Mining Tool: New Algorithm and New Targets
- Why Do Physicists Study Barchan Dunes?
- Relational patterns of gene expression via non-metric multidimensional scaling analysis
- A Toy Model of Flying Snake's Glide
- Verifying Relationship between Height and Spacing, in Barchan Dunes Simulated by the Coupled Map Lattice Model
- New Phases in Optimal Velocity Model
- Numerical investigation of surface level instability due to a tube in a vibrating bed of powder
- FRACTAL LIMIT DISTRIBUTIONS IN RANDOM TRANSPORTS
- Power Law Velocity Fluctuations Due to Inelastic Collisions in Numerically Simulated Vibrated Bed of Powder
- Dynamics of Granular Matter*1
- Numerical study of granular turbulence and the appearance of the energy spectrum without flow
- NON-GAUSSIAN DISTRIBUTION IN RANDOM TRANSPORT DYNAMICS
- TURBULENT FLOW IN VIBRATED BED OF POWDER: NEW TARGET TO INVESTIGATE TURBULENT FLOW
- NUMERICAL MODELING OF MORPHOLOGICAL CHANGES OF THE FRACTURE PROPAGATION IN THE QUENCHED GLASS PLATE
- Dynamical modelling of fracture propagation
- Numerical modeling of convective motion in granular materials
- A new mesoscopic scale model for simulating fluid turbulence: the lattice vortex tube model
- TURBULENT FLOW IN VIBRATED BED OF POWDER: NEW TARGET TO INVESTIGATE TURBULENT FLOW
- k -5/3 Power Spectrum in Powder–Turbulent Flow in a Vibrated Bed: Numerical Results
- NUMERICAL MODELING OF VIBRATED BEDS
- PREFACE
- Non-Gaussian distribution in random advection dynamics
- Powder turbulence: direct onset of turbulent flow
- New origin of a convective motion: Elastically induced convection in granular materials
- Lorentzian distribution of interacting vortex tubes
- Fracture propagation governed by the Laplace equation
- Aggregation of Particles with Deterministic Trajectories
- Aggregation of particles which move on deterministic trajectories with fractal dimension two. I. A simple and new model for DLA
- Self-avoiding walks on Sierpinski carpets
- Noninteger-dimensional hyper-Euclidean lattices on Sierpinski carpets
- Lacunarity and universality
- The phase diagram of a lattice gas model for β"-alumina
- The Correlation Function of the ±J Model on the Finite Square and Simple Cubic Lattices
- A Numerical Study of Spin-1/2 Alternating Antiferromagnetic Heisenberg Linear Chains
- Ground State of Quantum Spin Glass with Infinite Range Interactions
- Ground-state properties of the Heisenberg antiferromagnet-numerical study
- Ground State of Antiferromagnetic Quantum Spin Systems on the Triangular Lattice
- Transfer Matrix and Finite-Size Scaling for the Ising Model on Two- and Three-Dimensional Lattices
- Numerical Diagonalization of Quantum Spin Hamiltonians
- The Spin Wave Theory in Antiferromagnetic Heisenberg Model on Face Centered Cubic Lattice
- Protein Fold Recognition Based Upon the Amino Acid Occurrence
- Heuristic Principal Component Analysis-Based Unsupervised Feature Extraction and Its Application to Bioinformatics