Genetics

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

10,546 articles
Stay Ahead - Weekly Genetics research updates
Subscribe
Browse Categories
Subcategories: Genetics
Showing 4600-4620 of 10,546 articles
Application of Single-Nucleotide Polymorphisms in the Diagnosis of Autism Spectrum Disorders: A Preliminary Study with Artificial Neural Networks.

Autism spectrum disorder (ASD) includes different neurodevelopmental disorders characterized by defi...

Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning.

Epidermal growth factor receptor (EGFR) genotyping is critical for treatment guidelines such as the ...

An Adolescent with Progressive Enlargement of Digits: Case report and proposed diagnostic criteria for macrodystrophia lipomatosa.

Macrodystrophia lipomatosa (ML) is a rare congenital non-hereditary condition caused by an increase ...

Investigation of the Antioxidant, α-Glucosidase Inhibitory, Anti-inflammatory, and DNA Protective Properties of L.

OBJECTIVES: The scope of this study was to investigate the total phenolic, anthocyanin, and flavonoi...

Machine learning in plant-pathogen interactions: empowering biological predictions from field scale to genome scale.

Machine learning (ML) encompasses statistical methods that learn to identify patterns in complex dat...

Deep Collaborative Filtering for Prediction of Disease Genes.

Accurate prioritization of potential disease genes is a fundamental challenge in biomedical research...

Deep-learning augmented RNA-seq analysis of transcript splicing.

A major limitation of RNA sequencing (RNA-seq) analysis of alternative splicing is its reliance on h...

Evolution of Deep Convolutional Neural Networks Using Cartesian Genetic Programming.

The convolutional neural network (CNN), one of the deep learning models, has demonstrated outstandin...

LUADpp: an effective prediction model on prognosis of lung adenocarcinomas based on somatic mutational features.

BACKGROUND: Lung adenocarcinoma is the most common type of lung cancers. Whole-genome sequencing stu...

Enhancer prediction with histone modification marks using a hybrid neural network model.

Enhancer is a DNA sequence of a genome that controls transcription of downstream target genes. Enhan...

Biochemical, machine learning and molecular approaches for the differential diagnosis of Mucopolysaccharidoses.

This study was aimed to construct classification and regression tree (CART) model of glycosaminoglyc...

Group Lasso Regularized Deep Learning for Cancer Prognosis from Multi-Omics and Clinical Features.

Accurate prognosis of patients with cancer is important for the stratification of patients, the opti...

Large-scale network analysis reveals the sequence space architecture of antibody repertoires.

The architecture of mouse and human antibody repertoires is defined by the sequence similarity netwo...

Molecular Signatures of Fusion Proteins in Cancer.

Although gene fusions are recognized as driver mutations in a wide variety of cancers, the general m...

Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks.

Chromosome classification is critical for karyotyping in abnormality diagnosis. To expedite the diag...

Gene Expression Classification of Lung Adenocarcinoma into Molecular Subtypes.

As one of the most common malignancies in the world, lung adenocarcinoma (LUAD) is currently difficu...

Scalable analysis of cell-type composition from single-cell transcriptomics using deep recurrent learning.

Recent advances in large-scale single-cell RNA-seq enable fine-grained characterization of phenotypi...

MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction.

The human microbiome plays a number of critical roles, impacting almost every aspect of human health...

Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells.

The complicated interactions that occur in mixed-species biotechnologies, including biosensors, hind...

Machine Learning Prediction of DNA Charge Transport.

First-principles calculations of charge transfer in DNA molecules are computationally expensive give...

Browse Categories