AIMC Topic: Single-Cell Gene Expression Analysis

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Investigation of cell development and tissue structure network based on natural Language processing of scRNA-seq data.

Journal of translational medicine Mar 4, 2025
BACKGROUND: Single-cell multi-omics technologies, particularly single-cell RNA sequencing (scRNA-seq), have revolutionized our understanding of cellular heterogeneity and development by providing insights into gene expression at the single-cell level...
Humans Animals Sequence Analysis, RNA Natural Language Processing Cell Differentiation Organ Specificity Single-Cell Analysis RNA-Seq Gene Regulatory Networks Single-Cell Gene Expression Analysis
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Deciphering the role of metal ion transport-related genes in T2D pathogenesis and immune cell infiltration via scRNA-seq and machine learning.

Frontiers in immunology Jan 24, 2025
INTRODUCTION: Type 2 diabetes (T2D) is a complex metabolic disorder with significant global health implications. Understanding the molecular mechanisms underlying T2D is crucial for developing effective therapeutic strategies. This study employs sing...
Diabetes Mellitus, Type 2 RNA-Seq Humans Single-Cell Analysis Single-Cell Gene Expression Analysis Gene Regulatory Networks Machine Learning Protein Interaction Maps Metals Gene Expression Profiling Ion Transport
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Integrating single-cell RNA-Seq and machine learning to dissect tryptophan metabolism in ulcerative colitis.

Journal of translational medicine Dec 20, 2024
BACKGROUND: Ulcerative colitis (UC) is a persistent inflammatory bowels disease (IBD) characterized by immune response dysregulation and metabolic disruptions. Tryptophan metabolism has been believed as a significant factor in UC pathogenesis, with s...
Humans Machine Learning Algorithms Single-Cell Analysis RNA-Seq Tryptophan Single-Cell Gene Expression Analysis Colitis, Ulcerative
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Integration of bulk/scRNA-seq and multiple machine learning algorithms identifies PIM1 as a biomarker associated with cuproptosis and ferroptosis in abdominal aortic aneurysm.

Frontiers in immunology Dec 11, 2024
BACKGROUND: Abdominal aortic aneurysm (AAA) is a serious life-threatening vascular disease, and its ferroptosis/cuproptosis markers have not yet been characterized. This study was aiming to identify markers associated with ferroptosis/cuproptosis in ...
Gene Expression Profiling Aortic Aneurysm, Abdominal RNA-Seq Humans Computational Biology Biomarkers Machine Learning Proto-Oncogene Proteins c-pim-1 Single-Cell Gene Expression Analysis Disease Models, Animal Animals Algorithms Mice Ferroptosis Male
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Essential blood molecular signature for progression of sepsis-induced acute lung injury: Integrated bioinformatic, single-cell RNA Seq and machine learning analysis.

International journal of biological macromolecules Oct 31, 2024
In this study, we aimed to identify an essential blood molecular signature for chacterizing the progression of sepsis-induced acute lung injury using integrated bioinformatic and machine learning analysis. The results showed that a total of 88 functi...
Computational Biology Acute Lung Injury RNA-Seq Single-Cell Gene Expression Analysis Mice Animals Humans Male Gene Expression Profiling Machine Learning Disease Progression Transcriptome Biomarkers Sepsis Single-Cell Analysis
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Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms.

Journal of microbiology and biotechnology Sep 23, 2024
As a treatment for esophageal squamous cell carcinoma (ESCC), which is common and fatal, mitophagy is a conserved cellular mechanism that selectively removes damaged mitochondria and is crucial for cellular homeostasis. While tumor development and re...
Esophageal Squamous Cell Carcinoma Apoptosis Regulatory Proteins Mitochondrial Proteins Mitophagy Biomarkers, Tumor Cell Movement Transcriptome Esophageal Neoplasms Cell Line, Tumor Mitochondria Single-Cell Analysis Humans RNA-Seq Machine Learning Single-Cell Gene Expression Analysis Algorithms Gene Expression Regulation, Neoplastic Prognosis Cell Proliferation
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Integrating large-scale single-cell RNA sequencing in central nervous system disease using self-supervised contrastive learning.

Communications biology Sep 10, 2024
The central nervous system (CNS) comprises a diverse range of brain cell types with distinct functions and gene expression profiles. Although single-cell RNA sequencing (scRNA-seq) provides new insights into the brain cell atlases, integrating large-...
Datasets as Topic Central Nervous System Atlases as Topic Humans Animals Deep Learning Single-Cell Gene Expression Analysis Cluster Analysis Neurodegenerative Diseases Supervised Machine Learning
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Bridging gaps: a neural network approach for cross-species scRNA-seq analysis in COVID-19.

EBioMedicine Sep 4, 2024
Humans Neural Networks, Computer COVID-19 SARS-CoV-2 Animals Single-Cell Analysis Single-Cell Gene Expression Analysis Sequence Analysis, RNA
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Machine-learning and scRNA-Seq-based diagnostic and prognostic models illustrating survival and therapy response of lung adenocarcinoma.

Genes and immunity Jul 29, 2024
Lung cancer is a major cause accounting for cancer-related mortalities, with lung adenocarcinoma (LUAD) being the most prevalent subtype. Given the high clinical and cellular heterogeneities of LUAD, accurate diagnosis and prognosis are crucial to av...
Machine Learning Prognosis Female Tumor Microenvironment Biomarkers, Tumor Single-Cell Gene Expression Analysis Humans Male Lung Neoplasms RNA-Seq Adenocarcinoma of Lung
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DCRELM: dual correlation reduction network-based extreme learning machine for single-cell RNA-seq data clustering.

Scientific reports Jun 12, 2024
Single-cell ribonucleic acid sequencing (scRNA-seq) is a high-throughput genomic technique that is utilized to investigate single-cell transcriptomes. Cluster analysis can effectively reveal the heterogeneity and diversity of cells in scRNA-seq data,...
Humans Single-Cell Gene Expression Analysis Machine Learning Algorithms Sequence Analysis, RNA Single-Cell Analysis Cluster Analysis RNA-Seq
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