AIMC Topic: Transcriptome

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Machine learning based analysis of single-cell data reveals evidence of subject-specific single-cell gene expression profiles in acute myeloid leukaemia patients and healthy controls.

Biochimica et biophysica acta. Gene regulatory mechanisms Oct 2, 2024
Acute Myeloid Leukaemia (AML) is characterized by uncontrolled growth of immature myeloid cells, disrupting normal blood production. Treatment typically involves chemotherapy, targeted therapy, and stem cell transplantation but many patients develop ...
Transcriptome Humans Case-Control Studies Machine Learning Single-Cell Analysis Leukemia, Myeloid, Acute Gene Expression Regulation, Leukemic Gene Expression Profiling
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Enhancing Gene Expression Predictions Using Deep Learning and Functional Annotations.

Genetic epidemiology Sep 30, 2024
Transcriptome-wide association studies (TWAS) aim to uncover genotype-phenotype relationships through a two-stage procedure: predicting gene expression from genotypes using an expression quantitative trait locus (eQTL) data set, then testing the pred...
Quantitative Trait Loci Polymorphism, Single Nucleotide Genotype Models, Genetic Gene Expression Humans Phenotype Transcriptome Deep Learning Genome-Wide Association Study
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Prognostic prediction of gastric cancer based on H&E findings and machine learning pathomics.

Molecular and cellular probes Sep 30, 2024
AIM: In this research, we aimed to develop a model for the accurate prediction of gastric cancer based on H&E findings combined with machine learning pathomics.
Aged Stomach Neoplasms Male Middle Aged Humans Machine Learning Prognosis Female Transcriptome ROC Curve Gene Expression Regulation, Neoplastic
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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 Humans Gene Expression Profiling Polycystic Ovary Syndrome Transcriptome Gene Regulatory Networks Computational Biology Machine Learning Abortion, Habitual Pregnancy Female
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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...
Liver Neoplasms Carcinoma, Hepatocellular Humans Machine Learning Gene Expression Regulation, Neoplastic Prognosis Nomograms Male Female Middle Aged Biomarkers, Tumor Gene Expression Profiling Transcriptome
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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...
Machine Learning Phenotype Biomarkers Pulmonary Disease, Chronic Obstructive Humans Lung Medicine, Chinese Traditional Mendelian Randomization Analysis Gene Regulatory Networks Molecular Docking Simulation Ferroptosis Drugs, Chinese Herbal Gene Expression Profiling Genetic Predisposition to Disease MicroRNAs Genetic Markers Transcriptome Computational Biology Predictive Value of Tests Databases, Genetic
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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 Cell Proliferation Cell Movement Esophageal Neoplasms Mitochondria Prognosis Biomarkers, Tumor Transcriptome Cell Line, Tumor Humans Single-Cell Analysis Machine Learning RNA-Seq Algorithms Single-Cell Gene Expression Analysis Gene Expression Regulation, Neoplastic
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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...
Transcriptome Single-Cell Analysis Gene Regulatory Networks Computational Biology Multiomics Gene Expression Regulation, Neoplastic Proteomics Immunogenic Cell Death Machine Learning Humans Stomach Neoplasms Tumor Microenvironment Gene Expression Profiling
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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.
Immunotherapy Gene Expression Regulation, Neoplastic Treatment Outcome Gene Expression Profiling Transcriptome Gene Regulatory Networks Mice Skin Neoplasms Tumor Microenvironment Humans Biomarkers, Tumor Machine Learning Animals Prognosis Melanoma
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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...
Plant Roots Plants, Medicinal Gene Expression Regulation, Plant Arabidopsis Machine Learning Gene Expression Profiling Transcriptome Single-Cell Analysis
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