AIMC Topic: Gene Regulatory Networks

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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...
Predictive Value of Tests Mendelian Randomization Analysis Drugs, Chinese Herbal Genetic Markers Medicine, Chinese Traditional Gene Regulatory Networks Genetic Predisposition to Disease Ferroptosis Phenotype Humans Computational Biology MicroRNAs Machine Learning Databases, Genetic Biomarkers Pulmonary Disease, Chronic Obstructive Lung Molecular Docking Simulation Gene Expression Profiling Transcriptome
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Discovery of Novel Biomarkers with Extended Non-Coding RNA Interactor Networks from Genetic and Protein Biomarkers.

International journal of molecular sciences Sep 23, 2024
Curated online interaction databases and gene ontology tools have streamlined the analysis of highly complex gene/protein networks. However, understanding of disease pathogenesis has gradually shifted from a protein-based core to complex interactive ...
Humans Biomarkers Protein Interaction Maps Gene Regulatory Networks Databases, Genetic Gene Ontology Psoriasis RNA, Untranslated Genetic Markers
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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 ...
Databases, Genetic Ischemic Stroke Machine Learning NAD Biomarkers Humans Gene Expression Profiling Gene Regulatory Networks
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Identifying Potential Diagnostic and Therapeutic Targets for Infantile Hemangioma Using WGCNA and Machine Learning Algorithms.

Biochemical genetics Sep 18, 2024
Infantile hemangioma (IH) is the most common benign vascular tumor during infancy and childhood and is characterized by abnormal vascular development. It is the most common vascular tumor and its related mechanisms and treatments remain a problem. IH...
Humans Machine Learning Gene Expression Profiling Gene Regulatory Networks Gene Expression Regulation, Neoplastic Algorithms Hemangioma Biomarkers, Tumor Infant
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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...
Proteomics Immunogenic Cell Death Gene Regulatory Networks Computational Biology Multiomics Gene Expression Regulation, Neoplastic Gene Expression Profiling Transcriptome Single-Cell Analysis Humans Machine Learning Stomach Neoplasms Tumor Microenvironment
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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.
Treatment Outcome Animals Gene Expression Profiling Transcriptome Gene Regulatory Networks Melanoma Humans Mice Skin Neoplasms Machine Learning Immunotherapy Tumor Microenvironment Prognosis Biomarkers, Tumor Gene Expression Regulation, Neoplastic
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Interpreting cis-regulatory interactions from large-scale deep neural networks.

Nature genetics Sep 16, 2024
The rise of large-scale, sequence-based deep neural networks (DNNs) for predicting gene expression has introduced challenges in their evaluation and interpretation. Current evaluations align DNN predictions with orthogonal experimental data, providin...
Regulatory Sequences, Nucleic Acid Genomics Models, Genetic Gene Expression Regulation Humans Neural Networks, Computer Animals Deep Learning Gene Regulatory Networks
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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...
Humans Machine Learning Depressive Disorder, Major Transcription Factors MicroRNAs Astrocytes Mitochondria Gene Expression Profiling Gene Regulatory Networks Computational Biology Mitophagy
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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 ...
Lung Neoplasms Computational Biology Algorithms Systems Biology Molecular Docking Simulation Gastroesophageal Reflux Gene Expression Profiling Humans Gene Regulatory Networks Machine Learning
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Machine learning reveals the transcriptional regulatory network and circadian dynamics of PCC 7942.

Proceedings of the National Academy of Sciences of the United States of America Sep 13, 2024
is an important cyanobacterium that serves as a versatile and robust model for studying circadian biology and photosynthetic metabolism. Its transcriptional regulatory network (TRN) is of fundamental interest, as it orchestrates the cell's adaptatio...
Machine Learning Photosynthesis Transcriptome Gene Regulatory Networks Synechococcus Bacterial Proteins Circadian Rhythm Gene Expression Regulation, Bacterial
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