AIMC Topic:
Cluster Analysis

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Identification of spinal tuberculosis subphenotypes using routine clinical data: a study based on unsupervised machine learning.

Annals of medicine Jan 1, 2023
OBJECTIVE: The identification of spinal tuberculosis subphenotypes is an integral component of precision medicine. However, we lack proper study models to identify subphenotypes in patients with spinal tuberculosis. Here we identified possible subphe...
Unsupervised Machine Learning Tuberculosis, Spinal Cluster Analysis Humans Hospitalization Algorithms
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Differential Expression, Functional and Machine Learning Analysis of High-Throughput -Omics Data Using Open-Source Tools.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2023
Today, -omics analyses, including the systematic cataloging of messenger RNA and microRNA sequences or DNA methylation patterns in a cell population, organ or tissue sample, allow for an unbiased, comprehensive genome-level analysis of complex diseas...
Computational Biology Cluster Analysis Algorithms Machine Learning
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Morphologic clustering of earcanals using deep learning algorithm to design artificial ears dedicated to earplug attenuation measurement.

The Journal of the Acoustical Society of America Dec 1, 2022
Designing earplugs adapted for the widest number of earcanals requires acoustical test fixtures (ATFs) geometrically representative of the population. Most existing ATFs are equipped with unique sized straight cylindrical earcanals, considered repres...
Canada Cluster Analysis Deep Learning Ear Protective Devices Hearing Loss, Noise-Induced Artificial Intelligence Humans
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BindWeb: A web server for ligand binding residue and pocket prediction from protein structures.

Protein science : a publication of the Protein Society Dec 1, 2022
Knowledge of protein-ligand interactions is beneficial for biological process analysis and drug design. Given the complexity of the interactions and the inadequacy of experimental data, accurate ligand binding residue and pocket prediction remains ch...
Neural Networks, Computer Protein Binding Binding Sites Proteins Cluster Analysis Ligands
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Multi-omic integration by machine learning (MIMaL).

Bioinformatics (Oxford, England) Oct 31, 2022
MOTIVATION: Cells respond to environments by regulating gene expression to exploit resources optimally. Recent advances in technologies allow for measuring the abundances of RNA, proteins, lipids and metabolites. These highly complex datasets reflect...
Metabolic Networks and Pathways Proteome Cluster Analysis Machine Learning
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Guided interactive image segmentation using machine learning and color-based image set clustering.

Bioinformatics (Oxford, England) Sep 30, 2022
MOTIVATION: Over the last decades, image processing and analysis have become one of the key technologies in systems biology and medicine. The quantification of anatomical structures and dynamic processes in living systems is essential for understandi...
Image Processing, Computer-Assisted Cluster Analysis Machine Learning Software Systems Biology
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Programmed for Automatic Bone Disorder Clustering Based on Cumulative Calcium Prediction for Feature Extraction.

Clinical laboratory Aug 1, 2022
BACKGROUND: The prediction of bone disorders varies between ortho-physicians. A precise bone disorder cataloging system is proposed based on a renewed method for estimating calcium value from a radiological image of the bone.
Humans Calcium Support Vector Machine Algorithms Cluster Analysis
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[A protein complex recognition method based on spatial-temporal graph convolution neural network].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University Jul 20, 2022
OBJECTIVE: To propose a new method for mining complexes in dynamic protein network using spatiotemporal convolution neural network.
Computer Simulation Cluster Analysis Neural Networks, Computer Research Design Algorithms
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Comparing Prediction of Early TBI Mortality with Multilayer Perceptron Neural Network and Convolutional Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
In this work, we compare the performance of a multilayer perceptron neural network and convolutional networks for the prediction of 14-day mortality in patients with TBI, using a database obtained in a low-and middle-income country, with 529 records ...
Databases, Factual Humans Computer Simulation Neural Networks, Computer Cluster Analysis Linear Models
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A neural network for large-scale clustering of peptide mass spectra.

Nature methods Jun 1, 2022
Mass Spectrometry Algorithms Neural Networks, Computer Peptides Cluster Analysis
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