Genetics

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

10,404 articles
Stay Ahead - Weekly Genetics research updates
Subscribe
Browse Categories
Subcategories: Genetics
Showing 2038-2058 of 10,404 articles
GPAD: a natural language processing-based application to extract the gene-disease association discovery information from OMIM.

BACKGROUND: Thousands of genes have been associated with different Mendelian conditions. One of the ...

Comparison of clinical geneticist and computer visual attention in assessing genetic conditions.

Artificial intelligence (AI) for facial diagnostics is increasingly used in the genetics clinic to e...

moSCminer: a cell subtype classification framework based on the attention neural network integrating the single-cell multi-omics dataset on the cloud.

Single-cell omics sequencing has rapidly advanced, enabling the quantification of diverse omics prof...

Improving the second-tier classification of methylmalonic acidemia patients using a machine learning ensemble method.

INTRODUCTION: Methylmalonic acidemia (MMA) is a disorder of autosomal recessive inheritance, with an...

Rapid deep learning-assisted predictive diagnostics for point-of-care testing.

Prominent techniques such as real-time polymerase chain reaction (RT-PCR), enzyme-linked immunosorbe...

Machine learning methods for genomic prediction of cow behavioral traits measured by automatic milking systems in North American Holstein cattle.

Identifying genome-enabled methods that provide more accurate genomic prediction is crucial when eva...

Predicting S. aureus antimicrobial resistance with interpretable genomic space maps.

Increasing antimicrobial resistance (AMR) represents a global healthcare threat. To decrease the spr...

Protein design using structure-based residue preferences.

Recent developments in protein design rely on large neural networks with up to 100s of millions of p...

Deep learning-based, fully automated, pediatric brain segmentation.

The purpose of this study was to demonstrate the performance of a fully automated, deep learning-bas...

Online biomedical named entities recognition by data and knowledge-driven model.

Named entity recognition (NER) is an important task for the natural language processing of biomedica...

Distribution-Agnostic Deep Learning Enables Accurate Single-Cell Data Recovery and Transcriptional Regulation Interpretation.

Single-cell RNA sequencing (scRNA-seq) is a robust method for studying gene expression at the single...

Comparing feature selection and machine learning approaches for predicting methylation from genetic variation.

INTRODUCTION: Pharmacogenetics currently supports clinical decision-making on the basis of a limited...

Inference of annealed protein fitness landscapes with AnnealDCA.

The design of proteins with specific tasks is a major challenge in molecular biology with important ...

Investigation of bacterial DNA gyrase Inhibitor classification models and structural requirements utilizing multiple machine learning methods.

Infections from multidrug-resistant (MDR) bacteria have emerged as a paramount global health concern...

Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in skin cutaneous melanoma.

Intratumor heterogeneity (ITH) is defined as differences in molecular and phenotypic profiles betwee...

DeepSF-4mC: A deep learning model for predicting DNA cytosine 4mC methylation sites leveraging sequence features.

N-methylcytosine (4mC) is a DNA modification involving the addition of a methyl group to the fourth ...

A signal processing and deep learning framework for methylation detection using Oxford Nanopore sequencing.

Oxford Nanopore sequencing can detect DNA methylations from ionic current signal of single molecules...

RUBICON: a framework for designing efficient deep learning-based genomic basecallers.

Nanopore sequencing generates noisy electrical signals that need to be converted into a standard str...

Geometric deep learning for the prediction of magnesium-binding sites in RNA structures.

Magnesium ions (Mg) are essential for the folding, functional expression, and structural stability o...

From genome to clinic: The power of translational bioinformatics in improving human health.

Translational bioinformatics (TBI) has transformed healthcare by providing personalized medicine and...

Browse Categories