AIMC Topic: Software

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Predicting bacterial community assemblages using an artificial neural network approach.

Methods in molecular biology (Clifton, N.J.)
Microbial communities are found in nearly all environments and play a critical role in defining ecosystem service. Understanding the relationship between these microbial communities and their environment is essential for prediction of community struc...

Protein structural information derived from NMR chemical shift with the neural network program TALOS-N.

Methods in molecular biology (Clifton, N.J.)
Chemical shifts are obtained at the first stage of any protein structural study by NMR spectroscopy. Chemical shifts are known to be impacted by a wide range of structural factors, and the artificial neural network based TALOS-N program has been trai...

Management and modeling of balance disorders using decision support systems: the EMBALANCE project.

Advances in experimental medicine and biology
In this work, we present the concept, the methodological ideas and the architecture of the EMBALANCE platform. EMBALANCE platform extends existing but generic and currently uncoupled balance modeling activities, leading to a multi-scale and patient-s...

Epistasis analysis using artificial intelligence.

Methods in molecular biology (Clifton, N.J.)
Here we introduce artificial intelligence (AI) methodology for detecting and characterizing epistasis in genetic association studies. The ultimate goal of our AI strategy is to analyze genome-wide genetics data as a human would using sources of exper...

An alternative respiratory sounds classification system utilizing artificial neural networks.

Biomedical journal
BACKGROUND: Computerized lung sound analysis involves recording lung sound via an electronic device, followed by computer analysis and classification based on specific signal characteristics as non-linearity and nonstationarity caused by air turbulen...