AIMC Topic: Gene Expression Profiling

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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 Ion Transport Single-Cell Analysis RNA-Seq Metals Protein Interaction Maps Humans Gene Regulatory Networks Machine Learning Single-Cell Gene Expression Analysis Gene Expression Profiling
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KanCell: dissecting cellular heterogeneity in biological tissues through integrated single-cell and spatial transcriptomics.

Journal of genetics and genomics = Yi chuan xue bao Jan 23, 2025
KanCell is a deep learning model based on Kolmogorov-Arnold networks (KAN) designed to enhance cellular heterogeneity analysis by integrating single-cell RNA sequencing and spatial transcriptomics (ST) data. ST technologies provide insights into gene...
Humans Animals Gene Expression Profiling Mice Computational Biology Sequence Analysis, RNA Transcriptome Deep Learning Single-Cell Analysis
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Mapping the topography of spatial gene expression with interpretable deep learning.

Nature methods Jan 23, 2025
Spatially resolved transcriptomics technologies provide high-throughput measurements of gene expression in a tissue slice, but the sparsity of these data complicates analysis of spatial gene expression patterns. We address this issue by deriving a to...
Mice Gene Expression Profiling Transcriptome Deep Learning Brain Humans Tumor Microenvironment Neural Networks, Computer Animals Algorithms
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Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach.

Scientific reports Jan 23, 2025
Monkeypox virus (MPXV), a zoonotic pathogen, re-emerged in 2022 with the Clade IIb variant, raising global health concerns due to its unprecedented spread in non-endemic regions. Recent studies have shown that Clade IIb (2022 MPXV) is marked by uniqu...
Host-Pathogen Interactions Monkeypox virus Biomarkers Gene Expression Profiling Transcriptome Gene Regulatory Networks Computational Biology Mpox, Monkeypox Humans Machine Learning
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Identification and validation of immune and diagnostic biomarkers for interstitial cystitis/painful bladder syndrome by integrating bioinformatics and machine-learning.

Frontiers in immunology Jan 23, 2025
BACKGROUND: The etiology of interstitial cystitis/painful bladder syndrome (IC/BPS) remains elusive, presenting significant challenges in both diagnosis and treatment. To address these challenges, we employed a comprehensive approach aimed at identif...
Humans Machine Learning Biomarkers Gene Regulatory Networks Gene Expression Profiling Computational Biology Transcriptome Cystitis, Interstitial
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Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence.

Frontiers in immunology Jan 23, 2025
BACKGROUND: Diabetic nephropathy (DN) is a complication of systemic microvascular disease in diabetes mellitus. Abnormal glycolysis has emerged as a potential factor for chronic renal dysfunction in DN. The current lack of reliable predictive biomark...
Gene Expression Profiling Transcriptome Single-Cell Analysis Humans Diabetic Nephropathies Machine Learning Glycolysis Biomarkers Male
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Identifying candidate RNA-seq biomarkers for severity discrimination in chemical injuries: A machine learning and molecular dynamics approach.

International immunopharmacology Jan 22, 2025
INTRODUCTION: Biomarkers play a crucial role across various fields by providing insights into biological responses to interventions. High-throughput gene expression profiling technologies facilitate the discovery of data-driven biomarkers through ext...
Machine Learning Algorithms Biomarkers Humans Molecular Dynamics Simulation Mustard Gas Chemical Warfare Agents Male Gene Expression Profiling RNA-Seq
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Inferring disease progression stages in single-cell transcriptomics using a weakly supervised deep learning approach.

Genome research Jan 22, 2025
Application of single-cell/nucleus genomic sequencing to patient-derived tissues offers potential solutions to delineate disease mechanisms in humans. However, individual cells in patient-derived tissues are in different pathological stages, and henc...
Humans Disease Progression Gene Expression Profiling Transcriptome Deep Learning Single-Cell Analysis
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Establishment of a nomogram model based on immune-related genes using machine learning for aortic dissection diagnosis and immunomodulation assessment.

International journal of medical sciences Jan 21, 2025
The clinical manifestation of aortic dissection (AD) is complex and varied, making early diagnosis crucial for patient survival. This study aimed to identify immune-related markers to establish a nomogram model for AD diagnosis. Three datasets from G...
Immunomodulation Tissue Inhibitor of Metalloproteinase-1 Machine Learning Serum Amyloid P-Component Male Gene Expression Profiling Chemokine CXCL1 Humans Databases, Genetic Protein Interaction Maps C-Reactive Protein Gene Regulatory Networks Aortic Dissection Nomograms
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Machine learning-driven identification of critical gene programs and key transcription factors in migraine.

The journal of headache and pain Jan 20, 2025
BACKGROUND: Migraine is a complex neurological disorder characterized by recurrent episodes of severe headaches. Although genetic factors have been implicated, the precise molecular mechanisms, particularly gene expression patterns in migraine-associ...
Polymorphism, Single Nucleotide Transcription Factors Migraine Disorders Genome-Wide Association Study Gene Regulatory Networks Genetic Predisposition to Disease Humans Machine Learning Gene Expression Profiling
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