Genetics

Genetics

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

11,104 articles

Subcategories: Genetics

Showing 3613-3633 of 11,104 articles

Deep learning-based prediction of H3K27M alteration in diffuse midline gliomas based on whole-brain MRI.

BACKGROUND: H3K27M mutation status significantly affects the prognosis of patients with diffuse midl...

Jul 2023 37461358

Rational design of functional amyloid fibrillar assemblies.

Amyloid fibrillar assemblies, originally identified as pathological entities in neurodegenerative di...

Jul 2023 37341718

Impact of E484Q and L452R Mutations on Structure and Binding Behavior of SARS-CoV-2 B.1.617.1 Using Deep Learning AlphaFold2, Molecular Docking and Dynamics Simulation.

During the outbreak of COVID-19, many SARS-CoV-2 variants presented key amino acid mutations that in...

Jul 2023 37511322

Systematical analysis of underlying markers associated with Marfan syndrome via integrated bioinformatics and machine learning strategies.

Marfan syndrome (MFS) is a hereditary disease with high mortality. This study aimed to explore perip...

Jul 2023 37449753

CRISPR-Cas-Based Biomonitoring for Marine Environments: Toward CRISPR RNA Design Optimization Via Deep Learning.

Almost all of Earth's oceans are now impacted by multiple anthropogenic stressors, including the spr...

Jul 2023 37439822

Multi-batch single-cell comparative atlas construction by deep learning disentanglement.

Cell state atlases constructed through single-cell RNA-seq and ATAC-seq analysis are powerful tools ...

Jul 2023 37433791

The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory.

Artificial Intelligence and Machine learning have been widely used in various fields of mathematical...

Jul 2023 37480771

Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications.

Recent research has highlighted the pivotal role of RNA post-transcriptional modifications in the re...

Jul 2023 37515874

HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence.

RNA-binding proteins (RBPs) control RNA metabolism to orchestrate gene expression and, when dysfunct...

Jul 2023 37421941

Explainable multi-task learning improves the parallel estimation of polygenic risk scores for many diseases through shared genetic basis.

Many complex diseases share common genetic determinants and are comorbid in a population. We hypothe...

Jul 2023 37418352

A simulative deep learning model of SNP interactions on chromosome 19 for predicting Alzheimer's disease risk and rates of disease progression.

BACKGROUND: Identifying genetic patterns that contribute to Alzheimer's disease (AD) is important no...

Jul 2023 37409680

Harnessing the power of artificial intelligence to advance cell therapy.

Cell therapies are powerful technologies in which human cells are reprogrammed for therapeutic appli...

Jul 2023 37415280

A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies.

BACKGROUND: Pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) has demonstrated ...

Jul 2023 37403567

Browse Categories

Deep learning-based prediction of H3K27M alteration in diffuse midline gliomas based on whole-brain MRI.

Rational design of functional amyloid fibrillar assemblies.

Impact of E484Q and L452R Mutations on Structure and Binding Behavior of SARS-CoV-2 B.1.617.1 Using Deep Learning AlphaFold2, Molecular Docking and Dynamics Simulation.

Systematical analysis of underlying markers associated with Marfan syndrome via integrated bioinformatics and machine learning strategies.

CRISPR-Cas-Based Biomonitoring for Marine Environments: Toward CRISPR RNA Design Optimization Via Deep Learning.

Multi-batch single-cell comparative atlas construction by deep learning disentanglement.

The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory.

Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications.

HydRA: Deep-learning models for predicting RNA-binding capacity from protein interaction association context and protein sequence.

Explainable multi-task learning improves the parallel estimation of polygenic risk scores for many diseases through shared genetic basis.

A simulative deep learning model of SNP interactions on chromosome 19 for predicting Alzheimer's disease risk and rates of disease progression.

Harnessing the power of artificial intelligence to advance cell therapy.

A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies.

High accuracy epidermal growth factor receptor mutation prediction via histopathological deep learning.

Prediction of on-target and off-target activity of CRISPR-Cas13d guide RNAs using deep learning.

Comprehensive tissue deconvolution of cell-free DNA by deep learning for disease diagnosis and monitoring.

Deep learning applications in single-cell genomics and transcriptomics data analysis.

Sampling effect in predicting the evolutionary response of populations to climate change.

GR-m6A: Prediction of N6-methyladenosine sites in mammals with molecular graph and residual network.

Amelogenesis imperfecta. case report.

Gene-specific machine learning for pathogenicity prediction of rare BRCA1 and BRCA2 missense variants.

Browse Categories