AIMC Topic: Databases, Genetic
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Integration of Machine Learning and Experimental Validation to Identify Anoikis-Related Prognostic Signature for Predicting the Breast Cancer Tumor Microenvironment and Treatment Response.
Genes
Nov 12, 2024
Anoikis-related genes (ANRGs) are crucial in the invasion and metastasis of breast cancer (BC). The underlying role of ANRGs in the prognosis of breast cancer patients warrants further study. The anoikis-related prognostic signature (ANRS) was gene...
Anoikis
Gene Expression
Blotting, Western
Imatinib Mesylate
Proportional Hazards Models
Treatment Outcome
Databases, Genetic
Predictive Value of Tests
Drug Screening Assays, Antitumor
Biomarkers, Tumor
Middle Aged
Antineoplastic Agents
Gene Expression Profiling
Reverse Transcriptase Polymerase Chain Reaction
Immunotherapy
Enzyme-Linked Immunosorbent Assay
Transcriptome
Real-Time Polymerase Chain Reaction
Reproducibility of Results
Machine Learning
Aged
Prognosis
Breast Neoplasms
Female
Tumor Microenvironment
Comprehensive Analysis of Immune Infiltration and Key Genes in Peri-Implantitis Using Bioinformatics and Molecular Biology Approaches.
Medical science monitor : international medical journal of experimental and clinical research
Nov 6, 2024
BACKGROUND Peri-implantitis is the main cause of failure of implant treatment, and there is little research on its molecular mechanism. This study aimed to identify key biomarkers and immune infiltration of peri-implantitis using a bioinformatics met...
SFWN: A Novel Semi-Supervised Feature Weighted Neural Network for Gene Data Feature Learning and Mining With Graph Modeling.
IEEE journal of biomedical and health informatics
Nov 6, 2024
Gene expression data can serve for analyzing the genes with changed expressions, the correlation between genes and the influence of different circumstance on gene activities. However, labeling a large number of gene expression data is laborious and t...
Screening of CAD-related secretory genes associated with type II diabetes based on comprehensive bioinformatics analysis and machine learning.
BMC cardiovascular disorders
Nov 5, 2024
BACKGROUND: Type II diabetes mellitus (T2DM) is strongly linked with a heightened risk of coronary artery disease (CAD). Exploring biological targets common to T2DM and CAD is essential for CAD intervention strategies.
Humans
Machine Learning
Female
Aged
Diabetes Mellitus, Type 2
Single-Cell Analysis
Gene Regulatory Networks
Genetic Predisposition to Disease
Computational Biology
Male
Middle Aged
Gene Expression Profiling
Transcriptome
Fibroblast Growth Factor 7
Databases, Genetic
Coronary Artery Disease
Myocytes, Cardiac
Myocytes, Smooth Muscle
Identification of ferroptosis-related genes associated with diffuse large B-cell lymphoma via bioinformatics and machine learning approaches.
International journal of biological macromolecules
Oct 31, 2024
Ferroptosis has emerged as a critical mechanism in the development and progression of various tumors, particularly diffuse large B-cell lymphoma (DLBCL). However, the thorough characterization of ferroptosis-related genes in DLBCL remains inadequatel...
Identification of metabolism related biomarkers in obesity based on adipose bioinformatics and machine learning.
Journal of translational medicine
Oct 31, 2024
BACKGROUND: Obesity has emerged as a growing global public health concern over recent decades. Obesity prevalence exhibits substantial global variation, ranging from less than 5% in regions like China, Japan, and Africa to rates exceeding 75% in urba...
Development and validation of preeclampsia predictive models using key genes from bioinformatics and machine learning approaches.
Frontiers in immunology
Oct 31, 2024
BACKGROUND: Preeclampsia (PE) poses significant diagnostic and therapeutic challenges. This study aims to identify novel genes for potential diagnostic and therapeutic targets, illuminating the immune mechanisms involved.
Construction of the miRNA/Pyroptosis-Related Molecular Regulatory Axis in Abdominal Aortic Aneurysm: Evidence From Transcriptome Data Combined With Multiple Machine Learning Approaches Followed by Experiment Validation.
Journal of immunology research
Oct 30, 2024
Abdominal aortic aneurysm (AAA) represents a permanent and localized widening of the abdominal aorta, posing a potentially lethal risk of aortic rupture. Several recent studies have highlighted the role of pyroptosis, a pro-inflammatory programed ce...
Assessing prospective molecular biomarkers and functional pathways in severe asthma based on a machine learning method and bioinformatics analyses.
The Journal of asthma : official journal of the Association for the Care of Asthma
Oct 12, 2024
BACKGROUND: Severe asthma, which differs significantly from typical asthma, involves specific molecular biomarkers that enhance our understanding and diagnostic capabilities. The objective of this study is to assess the biological processes underlyin...
Identification of key biomarkers for predicting atherosclerosis progression in polycystic ovary syndrome via bioinformatics analysis and machine learning.
Computers in biology and medicine
Oct 12, 2024
OBJECTIVE: Polycystic ovary syndrome (PCOS) is one of the most significant cardiovascular risk factors, playing vital roles in various cardiovascular diseases such as atherosclerosis (AS). This study attempted to explore key biomarkers for predicting...
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