AIMC Topic: Genetic Markers

Clear Filters Showing 71 to 72 of 72 articles

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography.

European heart journal Nov 14, 2019
BACKGROUND: Coronary inflammation induces dynamic changes in the balance between water and lipid content in perivascular adipose tissue (PVAT), as captured by perivascular Fat Attenuation Index (FAI) in standard coronary CT angiography (CCTA). Howeve...
Humans Machine Learning Algorithms Phenotype Female Aged Male Middle Aged Risk Assessment Gene Expression Profiling Transcriptome Case-Control Studies Follow-Up Studies Adipose Tissue Coronary Artery Disease Genetic Markers Plaque, Atherosclerotic Computed Tomography Angiography
View on PubMed DOI

Technical note: an R package for fitting sparse neural networks with application in animal breeding.

Journal of animal science May 4, 2018
Neural networks (NNs) have emerged as a new tool for genomic selection (GS) in animal breeding. However, the properties of NN used in GS for the prediction of phenotypic outcomes are not well characterized due to the problem of over-parameterization ...
Neural Networks, Computer Software Female Animals Male Genomics Genotype Bayes Theorem Genetic Markers Breeding
View on PubMed DOI
Popular Topics
Recent Journals