Genetics

Genetics

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

11,117 articles

Subcategories: Genetics

Showing 4705-4725 of 11,117 articles

Identification of drug combinations on the basis of machine learning to maximize anti-aging effects.

Aging is a multifactorial process that involves numerous genetic changes, so identifying anti-aging ...

Jan 2021 33507975

Towards a Precision Medicine Approach Based on Machine Learning for Tailoring Medical Treatment in Alkaptonuria.

ApreciseKUre is a multi-purpose digital platform facilitating data collection, integration and analy...

Jan 2021 33530326

Supervised mutational signatures for obesity and other tissue-specific etiological factors in cancer.

Determining the etiologic basis of the mutations that are responsible for cancer is one of the funda...

Jan 2021 33491650

Mining influential genes based on deep learning.

BACKGROUND: Currently, large-scale gene expression profiling has been successfully applied to the di...

Jan 2021 33482718

Detecting operons in bacterial genomes via visual representation learning.

Contiguous genes in prokaryotes are often arranged into operons. Detecting operons plays a critical ...

Jan 2021 33483546

Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.

PURPOSE: Preoperative prediction of isocitrate dehydrogenase 1 (IDH1) mutation in lower-grade glioma...

Jan 2021 33553421

Modeling autosomal dominant Alzheimer's disease with machine learning.

INTRODUCTION: Machine learning models were used to discover novel disease trajectories for autosomal...

Jan 2021 33480178

Sarcoma classification by DNA methylation profiling.

Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and children. They...

Jan 2021 33479225

MVP predicts the pathogenicity of missense variants by deep learning.

Accurate pathogenicity prediction of missense variants is critically important in genetic studies an...

Jan 2021 33479230

Ranking of a wide multidomain set of predictor variables of children obesity by machine learning variable importance techniques.

The increased prevalence of childhood obesity is expected to translate in the near future into a con...

Jan 2021 33479310

MethylationToActivity: a deep-learning framework that reveals promoter activity landscapes from DNA methylomes in individual tumors.

Although genome-wide DNA methylomes have demonstrated their clinical value as reliable biomarkers fo...

Jan 2021 33461601

DNA sequences performs as natural language processing by exploiting deep learning algorithm for the identification of N4-methylcytosine.

N4-methylcytosine is a biochemical alteration of DNA that affects the genetic operations without mod...

Jan 2021 33420191

Browse Categories

Identification of drug combinations on the basis of machine learning to maximize anti-aging effects.

Towards a Precision Medicine Approach Based on Machine Learning for Tailoring Medical Treatment in Alkaptonuria.

Supervised mutational signatures for obesity and other tissue-specific etiological factors in cancer.

Mining influential genes based on deep learning.

Detecting operons in bacterial genomes via visual representation learning.

Qualitative and Quantitative MRI Analysis in IDH1 Genotype Prediction of Lower-Grade Gliomas: A Machine Learning Approach.

Modeling autosomal dominant Alzheimer's disease with machine learning.

Sarcoma classification by DNA methylation profiling.

MVP predicts the pathogenicity of missense variants by deep learning.

Ranking of a wide multidomain set of predictor variables of children obesity by machine learning variable importance techniques.

MethylationToActivity: a deep-learning framework that reveals promoter activity landscapes from DNA methylomes in individual tumors.

Pair consensus decoding improves accuracy of neural network basecallers for nanopore sequencing.

Deep Learning and Computer Vision Strategies for Automated Gene Editing with a Single-Cell Electroporation Platform.

Forest and Trees: Exploring Bacterial Virulence with Genome-wide Association Studies and Machine Learning.

CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network.

ELASPIC2 (EL2): Combining Contextualized Language Models and Graph Neural Networks to Predict Effects of Mutations.

A deep learning framework combined with word embedding to identify DNA replication origins.

Machine learning reveals bilateral distribution of somatic L1 insertions in human neurons and glia.

A deep learning model for diagnosing dystrophinopathies on thigh muscle MRI images.

GVES: machine learning model for identification of prognostic genes with a small dataset.

DNA sequences performs as natural language processing by exploiting deep learning algorithm for the identification of N4-methylcytosine.

Browse Categories