AIMC Topic: Gene Expression Profiling

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[An artificial neural network diagnostic model for scleroderma and immune cell infiltration analysis based on mitochondria-associated genes].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University May 20, 2024
OBJECTIVE: To establish a diagnostic model for scleroderma by combining machine learning and artificial neural network based on mitochondria-related genes.
Disease Models, Animal Mitochondria Scleroderma, Systemic ROC Curve Mice Computational Biology Humans Neural Networks, Computer Machine Learning Animals Gene Expression Profiling Algorithms Biomarkers
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Identification of disease-specific genes related to immune infiltration in nonalcoholic steatohepatitis using machine learning algorithms.

Medicine May 17, 2024
To identify disease signature genes associated with immune infiltration in nonalcoholic steatohepatitis (NASH), we downloaded 2 publicly available gene expression profiles, GSE164760 and GSE37031, from the gene expression omnibus database. These prof...
Humans Transcriptome Support Vector Machine Hep G2 Cells Non-alcoholic Fatty Liver Disease Machine Learning Algorithms Gene Expression Profiling
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Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning.

Cell systems May 15, 2024
Image-based spatial transcriptomics methods enable transcriptome-scale gene expression measurements with spatial information but require complex, manually tuned analysis pipelines. We present Polaris, an analysis pipeline for image-based spatial tran...
Single-Cell Analysis Gene Expression Profiling In Situ Hybridization, Fluorescence Humans Transcriptome Image Processing, Computer-Assisted Single Molecule Imaging Software Deep Learning Supervised Machine Learning Animals
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Machine learning reveals ferroptosis features and a novel ferroptosis classifier in patients with sepsis.

Immunity, inflammation and disease May 1, 2024
OBJECTIVE: Sepsis is an organ malfunction disease that may become fatal and is commonly accompanied by severe complications such as multiorgan dysfunction. Patients who are already hospitalized have a high risk of death due to sepsis. Even though ear...
Disease Models, Animal Ferroptosis Sepsis Rats Rats, Sprague-Dawley Humans Machine Learning Biomarkers Male Gene Expression Profiling Female Animals
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Machine learning and deep learning to identifying subarachnoid haemorrhage macrophage-associated biomarkers by bulk and single-cell sequencing.

Journal of cellular and molecular medicine May 1, 2024
We investigated subarachnoid haemorrhage (SAH) macrophage subpopulations and identified relevant key genes for improving diagnostic and therapeutic strategies. SAH rat models were established, and brain tissue samples underwent single-cell transcript...
Male Molecular Docking Simulation Gene Expression Profiling Macrophages Biomarkers Animals Rats Rats, Sprague-Dawley Disease Models, Animal Subarachnoid Hemorrhage Transcriptome Neural Networks, Computer Deep Learning Machine Learning Single-Cell Analysis
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[Identification of Protein-Coding Gene Markers in Breast Invasive Carcinoma Based on Machine Learning].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae Apr 1, 2024
Objective To screen out the biomarkers linked to prognosis of breast invasive carcinoma based on the analysis of transcriptome data by random forest (RF),extreme gradient boosting (XGBoost),light gradient boosting machine (LightGBM),and categorical b...
Humans Breast Neoplasms Machine Learning Biomarkers, Tumor Prognosis Female Gene Expression Profiling
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scNovel: a scalable deep learning-based network for novel rare cell discovery in single-cell transcriptomics.

Briefings in bioinformatics Mar 27, 2024
Single-cell RNA sequencing has achieved massive success in biological research fields. Discovering novel cell types from single-cell transcriptomics has been demonstrated to be essential in the field of biomedicine, yet is time-consuming and needs pr...
Humans Neural Networks, Computer COVID-19 Deep Learning Macrophages Gene Expression Profiling
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[Screening for Characteristic Genes of Different Traditional Chinese Medicine Syndromes of Psoriasis Vulgaris: A Study Based on Bioinformatics and Machine Learning].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 20, 2024
OBJECTIVE: To screen for the key characteristic genes of the psoriasis vulgaris (PV) patients with different Traditional Chinese Medicine (TCM) syndromes, including blood-heat syndrome (BHS), blood stasis syndrome (BSS), and blood-dryness syndrome (B...
Support Vector Machine Medicine, Chinese Traditional Psoriasis Humans Algorithms Machine Learning Gene Expression Profiling Computational Biology
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[Identification of Osteoarthritis Inflamm-Aging Biomarkers by Integrating Bioinformatic Analysis and Machine Learning Strategies and the Clinical Validation].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Mar 20, 2024
OBJECTIVE: To identify inflamm-aging related biomarkers in osteoarthritis (OA).
Osteoarthritis Aged Forkhead Box Protein O3 Male Sirtuin 3 Computational Biology Aging Inflammation Gene Expression Profiling Humans Cellular Senescence Machine Learning Biomarkers
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Screening of key immunerelated gene in Parkinsons disease based on WGCNA and machine learning.

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences Feb 28, 2024
OBJECTIVES: Abnormal immune system activation and inflammation are crucial in causing Parkinson's disease. However, we still don't fully understand how certain immune-related genes contribute to the disease's development and progression. This study a...
Databases, Genetic Gene Regulatory Networks Humans Computational Biology Oligonucleotide Array Sequence Analysis Parkinson Disease Machine Learning Signal Transduction Gene Ontology Gene Expression Profiling
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