GTP-Binding Proteins

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Bioinformatics analysis of the genes involved in the extension of prostate cancer to adjacent lymph nodes by supervised and unsupervised machine learning methods: The role of SPAG1 and PLEKHF2.

Genomics 32619574

The present study aimed to identify the genes associated with the involvement of adjunct lymph nodes of patients with prostate cancer (PCa) and to provide valuable information for the identification of potential diagnostic biomarkers and pathological...

Antigens, Surface Cluster Analysis Computational Biology Datasets as Topic GTP-Binding Proteins Humans Lymphatic Metastasis Male Prostatic Neoplasms Supervised Machine Learning Unsupervised Machine Learning Vesicular Transport Proteins

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Classification of particle trajectories in living cells: Machine learning versus statistical testing hypothesis for fractional anomalous diffusion.

Physical review. E 33076015

Single-particle tracking (SPT) has become a popular tool to study the intracellular transport of molecules in living cells. Inferring the character of their dynamics is important, because it determines the organization and functions of the cells. For...

Biological Transport Cell Survival Diffusion GTP-Binding Proteins Machine Learning Models, Biological Receptors, G-Protein-Coupled Single Molecule Imaging

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G-Protein Signaling in Alzheimer's Disease: Spatial Expression Validation of Semi-supervised Deep Learning-Based Computational Framework.

The Journal of neuroscience : the official journal of the Society for Neuroscience 39327003

Systemic study of pathogenic pathways and interrelationships underlying genes associated with Alzheimer's disease (AD) facilitates the identification of new targets for effective treatments. Recently available large-scale multiomics datasets provide ...

Alzheimer Disease Amyloid beta-Protein Precursor Animals Brain Computational Biology Deep Learning Female GTP-Binding Proteins Humans Male Mice Mice, Transgenic Protein Interaction Maps Signal Transduction Supervised Machine Learning

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GTP-Binding Proteins

Bioinformatics analysis of the genes involved in the extension of prostate cancer to adjacent lymph nodes by supervised and unsupervised machine learning methods: The role of SPAG1 and PLEKHF2.

Classification of particle trajectories in living cells: Machine learning versus statistical testing hypothesis for fractional anomalous diffusion.

G-Protein Signaling in Alzheimer's Disease: Spatial Expression Validation of Semi-supervised Deep Learning-Based Computational Framework.

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