AIMC Topic: Transcriptome

Clear Filters Showing 271 to 280 of 899 articles

Shared diagnostic genes and potential mechanisms between polycystic ovary syndrome and recurrent miscarriage revealed by integrated transcriptomics analysis and machine learning.

Frontiers in endocrinology Sep 27, 2024
OBJECTIVE: More and more studies have found that polycystic ovary syndrome (PCOS) is significantly associated with recurrent spontaneous abortion (RSA), but the specific mechanism is not yet clear.
Databases, Genetic Polycystic Ovary Syndrome Abortion, Habitual Gene Expression Profiling Transcriptome Gene Regulatory Networks Humans Computational Biology Machine Learning Pregnancy Female
View on PubMed DOI

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...
Humans Liver Neoplasms Machine Learning Male Carcinoma, Hepatocellular Prognosis Middle Aged Gene Expression Regulation, Neoplastic Female Gene Expression Profiling Nomograms Biomarkers, Tumor Transcriptome
View on PubMed DOI

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...
Drugs, Chinese Herbal Genetic Markers Ferroptosis MicroRNAs Predictive Value of Tests Mendelian Randomization Analysis Machine Learning Lung Phenotype Molecular Docking Simulation Humans Biomarkers Gene Expression Profiling Gene Regulatory Networks Computational Biology Pulmonary Disease, Chronic Obstructive Transcriptome Genetic Predisposition to Disease Databases, Genetic Medicine, Chinese Traditional
View on PubMed DOI

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...
Mitochondria Esophageal Squamous Cell Carcinoma Apoptosis Regulatory Proteins Mitochondrial Proteins Gene Expression Regulation, Neoplastic Cell Proliferation Cell Movement Esophageal Neoplasms Mitophagy Algorithms Prognosis Biomarkers, Tumor Transcriptome Cell Line, Tumor Single-Cell Analysis RNA-Seq Single-Cell Gene Expression Analysis Humans Machine Learning
View on PubMed DOI

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...
Tumor Microenvironment Gene Expression Profiling Transcriptome Single-Cell Analysis Gene Regulatory Networks Humans Machine Learning Stomach Neoplasms Immunogenic Cell Death Computational Biology Multiomics Gene Expression Regulation, Neoplastic Proteomics
View on PubMed DOI

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.
Immunotherapy Gene Expression Regulation, Neoplastic Treatment Outcome Gene Expression Profiling Transcriptome Skin Neoplasms Gene Regulatory Networks Humans Tumor Microenvironment Mice Machine Learning Biomarkers, Tumor Prognosis Animals Melanoma
View on PubMed DOI

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 Arabidopsis Machine Learning Gene Expression Profiling Transcriptome
View on PubMed DOI

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.
Machine Learning Osteoporosis Gene Expression Profiling Transcriptome Hepatitis B virus Genetic Predisposition to Disease Computational Biology Nomograms Humans Support Vector Machine Databases, Genetic Hepatitis B, Chronic
View on PubMed DOI

Identification of Disulfidptosis-Related Genes in Ischemic Stroke by Combining Single-Cell Sequencing, Machine Learning Algorithms, and In Vitro Experiments.

Neuromolecular medicine Sep 15, 2024
BACKGROUND: Ischemic stroke (IS) is a severe neurological disorder with a pathogenesis that remains incompletely understood. Recently, a novel form of cell death known as disulfidptosis has garnered significant attention in the field of ischemic stro...
Mice Nomograms Microglia Ischemic Stroke Humans Animals Machine Learning Male Algorithms Cell Death Transcriptome Single-Cell Analysis
View on PubMed DOI

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...
Bacterial Proteins Circadian Rhythm Gene Expression Regulation, Bacterial Photosynthesis Synechococcus Machine Learning Transcriptome Gene Regulatory Networks
View on PubMed DOI
Popular Topics
Recent Journals