AIMC Topic: Transcriptome

Clear Filters Showing 111 to 120 of 899 articles

Identification of novel metabolism-related biomarkers of Kawasaki disease by integrating single-cell RNA sequencing analysis and machine learning algorithms.

Frontiers in immunology Apr 10, 2025
BACKGROUND: The bile acid metabolism (BAM) and fatty acid metabolism (FAM) have been implicated in Kawasaki disease (KD), but their precise mechanisms remain unclear. Identifying signature cells and genes related to BAM and FAM could offer a deeper u...
Sequence Analysis, RNA Gene Expression Profiling Mucocutaneous Lymph Node Syndrome Humans Transcriptome Fatty Acids Machine Learning Single-Cell Analysis Biomarkers Monocytes
View on PubMed DOI

Integrative Multi-Omics Analysis Reveals Molecular Subtypes of Ovarian Cancer and Constructs Prognostic Models.

Journal of immunotherapy (Hagerstown, Md. : 1997) Apr 9, 2025
Ovarian cancer (OV) remains the most lethal gynecological malignancy. The aim of this study was to identify molecular subtypes of OV through integrative multi-omics analysis and construct machine learning-based prognostic models for predicting the ef...
DNA Copy Number Variations Ovarian Neoplasms Mutation Transcriptome Gene Regulatory Networks Immunotherapy Prognosis Genomics Humans Multiomics Female Machine Learning Gene Expression Regulation, Neoplastic Computational Biology Biomarkers, Tumor Databases, Genetic Gene Expression Profiling
View on PubMed DOI

Integration of graph neural networks and transcriptomics analysis identify key pathways and gene signature for immunotherapy response and prognosis of skin melanoma.

BMC cancer Apr 9, 2025
OBJECTIVE: The assessment of immunotherapy plays a pivotal role in the clinical management of skin melanoma. Graph neural networks (GNNs), alongside other deep learning algorithms and bioinformatics approaches, have demonstrated substantial promise i...
Computational Biology Immunotherapy Gene Expression Regulation, Neoplastic Graph Neural Networks Tumor Microenvironment Biomarkers, Tumor Humans Gene Expression Profiling Neural Networks, Computer Transcriptome Prognosis Melanoma Skin Neoplasms
View on PubMed DOI

Unique and shared transcriptomic signatures underlying localized scleroderma pathogenesis identified using interpretable machine learning.

JCI insight Apr 8, 2025
Using transcriptomic profiling at single-cell resolution, we investigated cell-intrinsic and cell-extrinsic signatures associated with pathogenesis and inflammation-driven fibrosis in both adult and pediatric patients with localized scleroderma (LS)....
Machine Learning Female Adult Male Middle Aged Gene Expression Profiling Transcriptome Case-Control Studies Humans Scleroderma, Systemic Adolescent Scleroderma, Localized Child Single-Cell Analysis RNA-Seq
View on PubMed DOI

Combining multi-omics analysis with machine learning to uncover novel molecular subtypes, prognostic markers, and insights into immunotherapy for melanoma.

BMC cancer Apr 7, 2025
BACKGROUND: Melanoma (SKCM) is an extremely aggressive form of cancer, characterized by high mortality rates, frequent metastasis, and limited treatment options. Our study aims to identify key target genes and enhance the diagnostic accuracy of melan...
Multiomics Gene Expression Regulation, Neoplastic Mutation Gene Expression Profiling Transcriptome Cell Line, Tumor Immunotherapy Melanoma Humans Skin Neoplasms Machine Learning Tumor Microenvironment Prognosis Biomarkers, Tumor Female
View on PubMed DOI

Machine learning of clinical phenotypes facilitates autism screening and identifies novel subgroups with distinct transcriptomic profiles.

Scientific reports Apr 5, 2025
Autism spectrum disorder (ASD) presents significant challenges in diagnosis and intervention due to its diverse clinical manifestations and underlying biological complexity. This study explored machine learning approaches to enhance ASD screening acc...
Autistic Disorder Phenotype Autism Spectrum Disorder Female Gene Expression Profiling Male Humans Transcriptome Machine Learning Child Cluster Analysis
View on PubMed DOI

Gap-App: A sex-distinct AI-based predictor for pancreatic ductal adenocarcinoma survival as a web application open to patients and physicians.

Cancer letters Apr 4, 2025
In this study, using RNA-Seq gene expression data and advanced machine learning techniques, we identified distinct gene expression profiles between male and female pancreatic ductal adenocarcinoma (PDAC) patients. Building on this insight, we develop...
Machine Learning Prognosis Female Aged Humans Pancreatic Neoplasms Internet Carcinoma, Pancreatic Ductal Sex Factors Male Middle Aged Gene Expression Profiling Transcriptome
View on PubMed DOI

MIST: An interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis.

Science advances Apr 4, 2025
Joint analysis of transcriptomic and T cell receptor (TCR) features at single-cell resolution provides a powerful approach for in-depth T cell immune function research. Here, we introduce a deep learning framework for single-T cell transcriptome and ...
Deep Learning Single-Cell Analysis Lung Neoplasms Receptors, Antigen, T-Cell SARS-CoV-2 Immunotherapy T-Lymphocytes CD8-Positive T-Lymphocytes Gene Expression Profiling Chemokine CXCL13 Transcriptome Humans COVID-19
View on PubMed DOI

Mitigating ambient RNA and doublets effects on single cell transcriptomics analysis in cancer research.

Cancer letters Apr 3, 2025
In cancer biology, where understanding the tumor microenvironment at high resolution is vital, ambient RNA contamination becomes a considerable problem. This hinders accurate delineation of intratumoral heterogeneity, complicates the identification o...
Gene Expression Profiling Transcriptome Single-Cell Analysis RNA-Seq Humans Tumor Microenvironment Biomarkers, Tumor Neoplasms Computational Biology Gene Expression Regulation, Neoplastic
View on PubMed DOI

5-Repurposed Drug Candidates Identified in Motor Neurons and Muscle Tissues with Amyotrophic Lateral Sclerosis by Network Biology and Machine Learning Based on Gene Expression.

Neuromolecular medicine Apr 3, 2025
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder that leads to motor neuron degeneration, muscle weakness, and respiratory failure. Despite ongoing research, effective treatments for ALS are limited. This study aimed to...
Muscle, Skeletal Drug Repositioning Amyotrophic Lateral Sclerosis Motor Neurons Machine Learning Gene Expression Profiling Transcriptome Gene Regulatory Networks Humans
View on PubMed DOI
Popular Topics
Recent Journals