AIMC Topic: Gene Expression Profiling

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Bioinformatics and Machine Learning Methods Identified MGST1 and QPCT as Novel Biomarkers for Severe Acute Pancreatitis.

Molecular biotechnology Jan 18, 2024
Severe acute pancreatitis (SAP) is a life-threatening gastrointestinal emergency. The study aimed to identify biomarkers and investigate molecular mechanisms of SAP. The GSE194331 dataset from GEO database was analyzed using bioinformatics. Different...
Pancreatitis Biomarkers Gene Expression Profiling Protein Interaction Maps Gene Regulatory Networks Computational Biology Glutathione Transferase Humans Machine Learning
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Identification of Co-diagnostic Genes for Heart Failure and Hepatocellular Carcinoma Through WGCNA and Machine Learning Algorithms.

Molecular biotechnology Jan 18, 2024
This research delves into the intricate relationship between hepatocellular carcinoma (HCC) and heart failure (HF) by exploring shared genetic characteristics and molecular processes. Employing advanced methodologies such as differential analysis, we...
Algorithms Biomarkers, Tumor Gene Expression Profiling Humans Computational Biology Machine Learning Liver Neoplasms Gene Expression Regulation, Neoplastic Carcinoma, Hepatocellular Heart Failure Gene Regulatory Networks
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Time-Course Transcriptome Analysis Reveals Distinct Phases and Identifies Two Key Genes during Severe Fever with Thrombocytopenia Syndrome Virus Infection in PMA-Induced THP-1 Cells.

Viruses Dec 29, 2023
In recent years, there have been significant advancements in the research of Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV). However, several limitations and challenges still exist. For instance, researchers face constraints regarding expe...
Humans Transcriptome THP-1 Cells Gene Expression Profiling Cluster Analysis Severe Fever with Thrombocytopenia Syndrome
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Exploring the advances of single-cell RNA sequencing in thyroid cancer: a narrative review.

Medical oncology (Northwood, London, England) Dec 21, 2023
Thyroid cancer, a prevalent form of endocrine malignancy, has witnessed a substantial increase in occurrence in recent decades. To gain a comprehensive understanding of thyroid cancer at the single-cell level, this narrative review evaluates the appl...
Sequence Analysis, RNA Cell Communication Gene Expression Profiling Thyroid Neoplasms Humans Artificial Intelligence Machine Learning Tumor Microenvironment
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scNAT: a deep learning method for integrating paired single-cell RNA and T cell receptor sequencing profiles.

Genome biology Dec 18, 2023
Many deep learning-based methods have been proposed to handle complex single-cell data. Deep learning approaches may also prove useful to jointly analyze single-cell RNA sequencing (scRNA-seq) and single-cell T cell receptor sequencing (scTCR-seq) da...
RNA Multiple Sclerosis Gene Expression Profiling Deep Learning Single-Cell Analysis Sequence Analysis, RNA Cell Movement Cluster Analysis Humans
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Identifying multi-target drugs for prostate cancer using machine learning-assisted transcriptomic analysis.

Journal of biomolecular structure & dynamics Dec 16, 2023
Prostate cancer is a leading cause of cancer death in men, and the development of effective treatments is of great importance. This study explored to identify the candidate drugs for prostate cancer by transcriptomic data and CMap database analysis. ...
Humans Machine Learning Male Transcriptome Cell Line, Tumor Gene Expression Regulation, Neoplastic Drug Discovery Antineoplastic Agents Gene Expression Profiling Bisoprolol Cell Proliferation Prostatic Neoplasms
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Identifying the Interaction Between Tuberculosis and SARS-CoV-2 Infections via Bioinformatics Analysis and Machine Learning.

Biochemical genetics Nov 22, 2023
The number of patients with COVID-19 caused by severe acute respiratory syndrome coronavirus 2 is still increasing. In the case of COVID-19 and tuberculosis (TB), the presence of one disease affects the infectious status of the other. Meanwhile, coin...
Computational Biology Humans Coinfection Machine Learning Tuberculosis Transcriptome COVID-19 Protein Interaction Maps SARS-CoV-2 Gene Expression Profiling
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SPACEL: deep learning-based characterization of spatial transcriptome architectures.

Nature communications Nov 22, 2023
Spatial transcriptomics (ST) technologies detect mRNA expression in single cells/spots while preserving their two-dimensional (2D) spatial coordinates, allowing researchers to study the spatial distribution of the transcriptome in tissues; however, j...
Deep Learning Models, Statistical Algorithms Gene Expression Profiling Transcriptome
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Machine learning and single-cell transcriptome profiling reveal regulation of fibroblast activation through THBS2/TGFβ1/P-Smad2/3 signalling pathway in hypertrophic scar.

International wound journal Nov 20, 2023
Hypertrophic scar (HS) is a chronic inflammatory skin disorder characterized by excessive deposition of extracellular matrix, and the mechanisms underlying their formation remain poorly understood. We analysed scRNA-seq data from samples of normal sk...
Fibroblasts Transforming Growth Factor beta1 Smad3 Protein Smad2 Protein Cicatrix, Hypertrophic Thrombospondins Male Gene Expression Profiling Signal Transduction Humans Machine Learning Female
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Evaluation of deep learning-based feature selection for single-cell RNA sequencing data analysis.

Genome biology Nov 10, 2023
BACKGROUND: Feature selection is an essential task in single-cell RNA-seq (scRNA-seq) data analysis and can be critical for gene dimension reduction and downstream analyses, such as gene marker identification and cell type classification. Most popula...
Sequence Analysis, RNA Cluster Analysis Gene Expression Profiling Data Analysis Deep Learning Algorithms Reproducibility of Results Single-Cell Analysis
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