AIMC Topic: Gene Expression Profiling

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Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer.

International immunopharmacology Jun 1, 2024
BACKGROUND: Despite the availability of established surgical and chemotherapy options, the treatment of bladder cancer (BCa) patients remains challenging. While immunotherapy has emerged as a promising approach, its benefits are limited to a subset o...
Transcriptome Mice Immunotherapy Gene Expression Regulation, Neoplastic Urinary Bladder Neoplasms Prognosis Venules Biomarkers, Tumor Animals Gene Expression Profiling Humans Machine Learning Algorithms
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A miRNA-based epigenetic molecular clock for biological skin-age prediction.

Archives of dermatological research Jun 1, 2024
Skin aging is one of the visible characteristics of the aging process in humans. In recent years, different biological clocks have been generated based on protein or epigenetic markers, but few have focused on biological age in the skin. Arrest the a...
Aged, 80 and over Young Adult Adult Male Machine Learning Female Aged MicroRNAs Skin Humans Skin Aging Biological Clocks Middle Aged Gene Expression Profiling Adolescent Epigenesis, Genetic
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Identification of drug responsive enhancers by predicting chromatin accessibility change from perturbed gene expression profiles.

NPJ systems biology and applications May 30, 2024
Individual may response to drug treatment differently due to their genetic variants located in enhancers. These variants can alter transcription factor's (TF) binding strength, affect enhancer's chromatin activity or interaction, and eventually chang...
Chromatin Humans Machine Learning Genome-Wide Association Study Gene Expression Profiling Computational Biology Transcriptome Transcription Factors Pharmacogenetics Enhancer Elements, Genetic
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Deciphering Abnormal Platelet Subpopulations in COVID-19, Sepsis and Systemic Lupus Erythematosus through Machine Learning and Single-Cell Transcriptomics.

International journal of molecular sciences May 29, 2024
This study focuses on understanding the transcriptional heterogeneity of activated platelets and its impact on diseases such as sepsis, COVID-19, and systemic lupus erythematosus (SLE). Recognizing the limited knowledge in this area, our research aim...
Humans Machine Learning COVID-19 SARS-CoV-2 Gene Expression Profiling Single-Cell Analysis Lupus Erythematosus, Systemic Transcriptome Blood Platelets Sepsis Platelet Activation
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Identification of Marker Genes in Infectious Diseases from ScRNA-seq Data Using Interpretable Machine Learning.

International journal of molecular sciences May 29, 2024
A common result of infection is an abnormal immune response, which may be detrimental to the host. To control the infection, the immune system might undergo regulation, therefore producing an excess of either pro-inflammatory or anti-inflammatory pat...
Sepsis Single-Cell Analysis RNA-Seq Single-Cell Gene Expression Analysis Sequence Analysis, RNA Biomarkers SARS-CoV-2 Gene Expression Profiling Transcriptome Humans Machine Learning COVID-19
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Machine learning-based identification and immune characterization of ferroptosis-related molecular clusters in osteoarthritis and validation.

Aging May 29, 2024
Osteoarthritis (OA), a degenerative joint disease, involves synovial inflammation, subchondral bone erosion, and cartilage degeneration. Ferroptosis, a regulated non-apoptotic programmed cell death, is associated with various diseases. This study inv...
Osteoarthritis Gene Expression Profiling Databases, Genetic Cluster Analysis Ferroptosis Humans Machine Learning
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Unveiling MiRNA-124 as a biomarker in hypertrophic cardiomyopathy: An innovative approach using machine learning and intelligent data analysis.

International journal of cardiology May 28, 2024
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is a widespread hereditary cardiac pathology characterized by thickened heart walls and rearrangement of cardiomyocytes. Despite extensive research, the mechanisms underlying HCM development remain poorly...
Cardiomyopathy, Hypertrophic Humans Machine Learning Female Biomarkers Male Gene Expression Profiling MicroRNAs
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An artificial intelligence-assisted clinical framework to facilitate diagnostics and translational discovery in hematologic neoplasia.

EBioMedicine May 28, 2024
BACKGROUND: The increasing volume and intricacy of sequencing data, along with other clinical and diagnostic data, like drug responses and measurable residual disease, creates challenges for efficient clinical comprehension and interpretation. Using ...
Translational Research, Biomedical In Situ Hybridization, Fluorescence Precursor B-Cell Lymphoblastic Leukemia-Lymphoma Gene Expression Profiling Child Computational Biology Humans Artificial Intelligence Female Biomarkers, Tumor Hematologic Neoplasms Male
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Integrated bioinformatics combined with machine learning to analyze shared biomarkers and pathways in psoriasis and cervical squamous cell carcinoma.

Frontiers in immunology May 28, 2024
BACKGROUND: Psoriasis extends beyond its dermatological inflammatory manifestations, encompassing systemic inflammation. Existing studies have indicated a potential risk of cervical cancer among patients with psoriasis, suggesting a potential mechani...
Transcriptome Carcinoma, Squamous Cell Psoriasis Protein Interaction Maps Biomarkers, Tumor Humans MicroRNAs Gene Regulatory Networks Uterine Cervical Neoplasms Computational Biology Machine Learning HeLa Cells Gene Expression Profiling Gene Expression Regulation, Neoplastic Female Signal Transduction Databases, Genetic
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Development and validation of a reliable DNA copy-number-based machine learning algorithm (CopyClust) for breast cancer integrative cluster classification.

Scientific reports May 24, 2024
The Integrative Cluster subtypes (IntClusts) provide a framework for the classification of breast cancer tumors into 10 distinct groups based on copy number and gene expression, each with unique biological drivers of disease and clinical prognoses. G...
Humans Breast Neoplasms Gene Expression Profiling Cluster Analysis DNA Copy Number Variations Machine Learning Algorithms Female
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