Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Graph embedding and unsupervised learning predict genomic sub-compartments from HiC chromatin interaction data.

Chromatin interaction studies can reveal how the genome is organized into spatially confined sub-com...

DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images.

Histopathological whole slide images of haematoxylin and eosin (H&E)-stained biopsies contain valuab...

Big data in IBD: big progress for clinical practice.

IBD is a complex multifactorial inflammatory disease of the gut driven by extrinsic and intrinsic fa...

Machine learning methods for microbiome studies.

Researches on the microbiome have been actively conducted worldwide and the results have shown human...

Prediction of Side Effects Using Comprehensive Similarity Measures.

Identifying the potential side effects of drugs is crucial in clinical trials in the pharmaceutical ...

Machine learning on genome-wide association studies to predict the risk of radiation-associated contralateral breast cancer in the WECARE Study.

The purpose of this study was to identify germline single nucleotide polymorphisms (SNPs) that optim...

Alendronate/Vitamin D for attenuating bone mineral density loss during antiretroviral initiation: a pilot randomized controlled trial.

Antiretroviral therapy (ART) initiation is associated with decreases in bone mineral density (BMD)....

Optimization of culture conditions for differentiation of melon based on artificial neural network and genetic algorithm.

Artificial neural network is an efficient and accurate fitting method. It has the function of self-l...

In vivo imaging of phosphocreatine with artificial neural networks.

Phosphocreatine (PCr) plays a vital role in neuron and myocyte energy homeostasis. Currently, there ...

Exploring the Consistency of the Quality Scores with Machine Learning for Next-Generation Sequencing Experiments.

BACKGROUND: Next-generation sequencing enables massively parallel processing, allowing lower cost th...

Robot Path Planning Based on Genetic Algorithm Fused with Continuous Bezier Optimization.

In this study, a new method of smooth path planning is proposed based on Bezier curves and is applie...

Computational Identification and Analysis of Ubiquinone-Binding Proteins.

Ubiquinone is an important cofactor that plays vital and diverse roles in many biological processes....

Convolutional Neural Networks-Based Image Analysis for the Detection and Quantification of Neutrophil Extracellular Traps.

Over a decade ago, the formation of neutrophil extracellular traps (NETs) was described as a novel m...

GenEpi: gene-based epistasis discovery using machine learning.

BACKGROUND: Genome-wide association studies (GWAS) provide a powerful means to identify associations...

Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes.

BACKGROUND: Transforming large amounts of genomic data into valuable knowledge for predicting comple...

Combining feature selection and shape analysis uncovers precise rules for miRNA regulation in Huntington's disease mice.

BACKGROUND: MicroRNA (miRNA) regulation is associated with several diseases, including neurodegenera...

A genome-wide multiphenotypic association analysis identified candidate genes and gene ontology shared by four common risky behaviors.

BACKGROUND: Risky behaviors can lead to huge economic and health losses. However, limited efforts ar...

Second-Generation Sequencing with Deep Reinforcement Learning for Lung Infection Detection.

Recently, deep reinforcement learning, associated with medical big data generated and collected from...

Invited Review: DNA methylation-based classification of paediatric brain tumours.

DNA methylation-based machine learning algorithms represent powerful diagnostic tools that are curre...

Radiogenomic Models Using Machine Learning Techniques to Predict EGFR Mutations in Non-Small Cell Lung Cancer.

BACKGROUND: The purpose of this study was to build radiogenomics models from texture signatures deri...

Vitamin D insufficiency is associated with subclinical atherosclerosis in HIV-1-infected patients on combination antiretroviral therapy.

Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increase...

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