AIMC Topic: Gene Expression Profiling

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Novel prognostic signature for hepatocellular carcinoma using a comprehensive machine learning framework to predict prognosis and guide treatment.

Frontiers in immunology Sep 24, 2024
BACKGROUND: Hepatocellular carcinoma (HCC) is highly aggressive, with delayed diagnosis, poor prognosis, and a lack of comprehensive and accurate prognostic models to assist clinicians. This study aimed to construct an HCC prognosis-related gene sign...
Gene Expression Profiling Female Transcriptome Biomarkers, Tumor Carcinoma, Hepatocellular Male Liver Neoplasms Gene Expression Regulation, Neoplastic Middle Aged Nomograms Humans Machine Learning Prognosis
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Screening COPD-Related Biomarkers and Traditional Chinese Medicine Prediction Based on Bioinformatics and Machine Learning.

International journal of chronic obstructive pulmonary disease Sep 24, 2024
PURPOSE: To employ bioinformatics and machine learning to predict the characteristics of immune cells and genes associated with the inflammatory response and ferroptosis in chronic obstructive pulmonary disease (COPD) patients and to aid in the devel...
Humans Genetic Markers Machine Learning Phenotype Biomarkers Computational Biology Databases, Genetic Gene Expression Profiling Medicine, Chinese Traditional Ferroptosis Transcriptome MicroRNAs Gene Regulatory Networks Predictive Value of Tests Genetic Predisposition to Disease Mendelian Randomization Analysis Pulmonary Disease, Chronic Obstructive Drugs, Chinese Herbal Lung Molecular Docking Simulation
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Employ machine learning to identify NAD+ metabolism-related diagnostic markers for ischemic stroke and develop a diagnostic model.

Experimental gerontology Sep 19, 2024
Ischemic stroke (IS) is a severe condition regulated by complex molecular alterations. This study aimed to identify potential nicotinamide adenine dinucleotide (NAD+) metabolism-associated diagnostic markers of IS and explore their associations with ...
Ischemic Stroke NAD Biomarkers Gene Expression Profiling Gene Regulatory Networks Databases, Genetic Humans Machine Learning
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Multi-omics features of immunogenic cell death in gastric cancer identified by combining single-cell sequencing analysis and machine learning.

Scientific reports Sep 18, 2024
Gastric cancer (GC) is a prevalent malignancy with high mortality rates. Immunogenic cell death (ICD) is a unique form of programmed cell death that is closely linked to antitumor immunity and plays a critical role in modulating the tumor microenviro...
Computational Biology Multiomics Gene Expression Regulation, Neoplastic Proteomics Transcriptome Single-Cell Analysis Gene Regulatory Networks Immunogenic Cell Death Humans Machine Learning Stomach Neoplasms Tumor Microenvironment Gene Expression Profiling
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Construction of an artificial neural network diagnostic model and investigation of immune cell infiltration characteristics for idiopathic pulmonary fibrosis.

BMC pulmonary medicine Sep 17, 2024
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a severe lung condition, and finding better ways to diagnose and treat the disease is crucial for improving patient outcomes. Our study sought to develop an artificial neural network (ANN) model for ...
Lung Humans Idiopathic Pulmonary Fibrosis Gene Expression Profiling Collagen Type III Neural Networks, Computer Protein Interaction Maps Databases, Genetic
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Machine learning-based identification of an immunotherapy-related signature to enhance outcomes and immunotherapy responses in melanoma.

Frontiers in immunology Sep 17, 2024
BACKGROUND: Immunotherapy has revolutionized skin cutaneous melanoma treatment, but response variability due to tumor heterogeneity necessitates robust biomarkers for predicting immunotherapy response.
Skin Neoplasms Tumor Microenvironment Biomarkers, Tumor Animals Machine Learning Prognosis Humans Melanoma Immunotherapy Gene Expression Profiling Gene Expression Regulation, Neoplastic Transcriptome Treatment Outcome Gene Regulatory Networks Mice
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AtML: An Arabidopsis thaliana root cell identity recognition tool for medicinal ingredient accumulation.

Methods (San Diego, Calif.) Sep 16, 2024
Arabidopsis thaliana synthesizes various medicinal compounds, and serves as a model plant for medicinal plant research. Single-cell transcriptomics technologies are essential for understanding the developmental trajectory of plant roots, facilitating...
Single-Cell Analysis Plant Roots Plants, Medicinal Gene Expression Regulation, Plant Machine Learning Gene Expression Profiling Transcriptome Arabidopsis
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Screening of genes co-associated with osteoporosis and chronic HBV infection based on bioinformatics analysis and machine learning.

Frontiers in immunology Sep 16, 2024
OBJECTIVE: To identify HBV-related genes (HRGs) implicated in osteoporosis (OP) pathogenesis and develop a diagnostic model for early OP detection in chronic HBV infection (CBI) patients.
Nomograms Support Vector Machine Databases, Genetic Hepatitis B, Chronic Humans Transcriptome Hepatitis B virus Genetic Predisposition to Disease Machine Learning Computational Biology Osteoporosis Gene Expression Profiling
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Identification of mitophagy-related genes and analysis of immune infiltration in the astrocytes based on machine learning in the pathogenesis of major depressive disorder.

Journal of affective disorders Sep 14, 2024
BACKGROUNDS: Major depressive disorder (MDD) is a pervasive mental and mood disorder with complicated and heterogeneous etiology. Mitophagy, a selective autophagy of cells, specifically eliminates dysfunctional mitochondria. The mitochondria dysfunct...
Mitochondria Mitophagy Transcription Factors MicroRNAs Astrocytes Humans Machine Learning Depressive Disorder, Major Gene Expression Profiling Gene Regulatory Networks Computational Biology
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Systems Biology and Machine Learning Identify Genetic Overlaps Between Lung Cancer and Gastroesophageal Reflux Disease.

Omics : a journal of integrative biology Sep 13, 2024
One Health and planetary health place emphasis on the common molecular mechanisms that connect several complex human diseases as well as human and planetary ecosystem health. For example, not only lung cancer (LC) and gastroesophageal reflux disease ...
Humans Machine Learning Lung Neoplasms Computational Biology Systems Biology Gastroesophageal Reflux Algorithms Molecular Docking Simulation Gene Expression Profiling Gene Regulatory Networks
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