Genetics

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

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Showing 3277-3297 of 11,092 articles
Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage.

We visualize the predictions of multiple machine learning models to help biologists as they interact...

Feb 2024 37665712
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 ...

Feb 2024 38413851
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...

Feb 2024 38426141
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...

Feb 2024 38401044
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...

Feb 2024 38402240
Predicting S. aureus antimicrobial resistance with interpretable genomic space maps.

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

Feb 2024 38386182
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...

Feb 2024 38383725
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...

Feb 2024 38388493
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...

Feb 2024 38380499
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...

Feb 2024 38553155
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...

Feb 2024 38449836
Inference of annealed protein fitness landscapes with AnnealDCA.

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

Feb 2024 38377054
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...

Feb 2024 38372837
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...

Feb 2024 38364052
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 ...

Feb 2024 38382385
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...

Feb 2024 38365730
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...

Feb 2024 38365920
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...

Feb 2024 38365157
MRM-BERT: a novel deep neural network predictor of multiple RNA modifications by fusing BERT representation and sequence features.

RNA modifications play crucial roles in various biological processes and diseases. Accurate predicti...

Feb 2024 38357904
Building an ab initio solvated DNA model using Euclidean neural networks.

Accurately modeling large biomolecules such as DNA from first principles is fundamentally challengin...

Feb 2024 38358990
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