AIMC Topic: Nerve Growth Factors

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Integrating Machine Learning and Mendelian Randomization Determined a Functional Neurotrophin-Related Gene Signature in Patients with Lower-Grade Glioma.

Molecular biotechnology Jan 23, 2024
Recent researches reported that neurotrophins can promote glioma growth/invasion but the relevant model for predicting patients' survival in Lower-Grade Gliomas (LGGs) lacked. In this study, we adopted univariate Cox analysis, LASSO regression, and m...
Machine Learning Prognosis Humans Mendelian Randomization Analysis Neoplasm Grading DNA Copy Number Variations Nerve Growth Factors Sulfotransferases Homeodomain Proteins Proportional Hazards Models Polymorphism, Single Nucleotide Glioma Gene Expression Regulation, Neoplastic Brain Neoplasms Male Female
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PEDF, a pleiotropic WTC-LI biomarker: Machine learning biomarker identification and validation.

PLoS computational biology Jul 21, 2021
Biomarkers predict World Trade Center-Lung Injury (WTC-LI); however, there remains unaddressed multicollinearity in our serum cytokines, chemokines, and high-throughput platform datasets used to phenotype WTC-disease. To address this concern, we used...
Nerve Growth Factors September 11 Terrorist Attacks Firefighters Lung Injury Serpins Occupational Diseases Eye Proteins Inhalation Exposure Models, Statistical Machine Learning Humans Sensitivity and Specificity Longitudinal Studies Middle Aged Adult Reproducibility of Results Biomarkers Male
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Deep learning-based predictive identification of neural stem cell differentiation.

Nature communications May 10, 2021
The differentiation of neural stem cells (NSCs) into neurons is proposed to be critical in devising potential cell-based therapeutic strategies for central nervous system (CNS) diseases, however, the determination and prediction of differentiation is...
Astrocytes Hormones Rats Microscopy, Electron, Transmission Animals Nerve Growth Factors Fluorescent Antibody Technique Oligodendroglia Nanoparticles Neurons Neural Stem Cells Neurogenesis Deep Learning Neural Networks, Computer Cells, Cultured Computer Simulation
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