AIMC Topic: Gene Expression Profiling
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CircaKB: a comprehensive knowledgebase of circadian genes across multiple species.
Nucleic acids research
Jan 6, 2025
Circadian rhythms, which are the natural cycles that dictate various physiological processes over a 24-h period, have been increasingly recognized as important in the management and treatment of various human diseases. However, the lack of sufficient...
Machine learning-driven identification of exosome- related biomarkers in head and neck squamous cell carcinoma.
Frontiers in immunology
Jan 1, 2025
BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is a common cancer associated with elevated mortality rates. Exosomes, diminutive extracellular vesicles, significantly contribute to tumour development, immunological evasion, and treatment r...
AI-driven multi-omics profiling of sepsis immunity in the digestive system.
Frontiers in immunology
Jan 1, 2025
Sepsis is a life-threatening systemic inflammatory syndrome characterized by a complex immune biphasic imbalance. Monitoring of immune status has not yet been implemented in clinical practice due to lack of direct therapeutic utility. Immune dysregul...
Construction of a prognostic model for endometrial cancer related to programmed cell death using WGCNA and machine learning algorithms.
Frontiers in immunology
Jan 1, 2025
BACKGROUND: Programmed cell death (PCD) refers to a regulated and active process of cellular demise, initiated by specific biological signals. PCD plays a crucial role in the development, progression, and drug resistance of uterine corpus endometrial...
Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach.
International journal of chronic obstructive pulmonary disease
Jan 1, 2025
BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary disease (COPD) and sepsis, but the underlying mechanisms remain unclear. This study aimed to explore shared diagnostic genes, potential mechanisms, and th...
Gene Regulatory Networks
Genetic Predisposition to Disease
Computational Biology
Predictive Value of Tests
Gene Expression Profiling
Sepsis
Genome-Wide Association Study
Mendelian Randomization Analysis
Humans
Machine Learning
Biomarkers
Pulmonary Disease, Chronic Obstructive
Molecular Docking Simulation
Bioinformatics meets machine learning: identifying circulating biomarkers for vitiligo across blood and tissues.
Frontiers in immunology
Jan 1, 2025
BACKGROUND: Vitiligo is a skin disorder characterized by the progressive loss of pigmentation in the skin and mucous membranes. The exact aetiology and pathogenesis of vitiligo remain incompletely understood.
Construction of a stromal cell-related prognostic signature based on a 101-combination machine learning framework for predicting prognosis and immunotherapy response in triple-negative breast cancer.
Frontiers in immunology
Jan 1, 2025
BACKGROUND: Triple-negative breast cancer (TNBC) is a highly aggressive subtype with limited therapeutic targets and poor immunotherapy outcomes. The tumor microenvironment (TME) plays a key role in cancer progression. Advances in single-cell transcr...
Tumor-infiltrating immune cell signature score reveals prognostic biomarkers and therapeutic targets for colorectal cancer.
Frontiers in immunology
Jan 1, 2025
BACKGROUND: Colorectal cancer (CRC) is one of the leading contributors to cancer-related deaths worldwide, with more than 900,000 new diagnoses and related deaths each year. This study aims to explore the prognostic value of tumor-infiltrating immune...
Identification of hub gene for the pathogenic mechanism and diagnosis of MASLD by enhanced bioinformatics analysis and machine learning.
PloS one
Jan 1, 2025
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a heterogeneous disease caused by multiple etiologies. It is characterized by excessive fat accumulation in the liver. Without intervention, MASLD can progress from steatosis to meta...
Integrative analysis of epigenetic subtypes in acute myeloid Leukemia: A multi-center study combining machine learning for prognostic and therapeutic insights.
PloS one
Jan 1, 2025
BACKGROUND: Acute Myeloid Leukemia (AML) exhibits significant heterogeneity in clinical outcomes, yet current prognostic stratification systems based on genetic alterations alone cannot fully capture this complexity. This study aimed to develop an in...
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