Genetics

Genetics

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

11,104 articles

Subcategories: Genetics

Showing 3508-3528 of 11,104 articles

EGeRepDR: An enhanced genetic-based representation learning for drug repurposing using multiple biomedical sources.

MOTIVATION: Drug repurposing (DR) is an imminent approach for identifying novel therapeutic indicati...

Oct 2023 37858852

Chromosome classification via deep learning and its application to patients with structural abnormalities of chromosomes.

BACKGROUND AND OBJECTIVE: Karyotyping is an important technique in cytogenetic practice for the earl...

Oct 2023 37985030

Deep-LASI: deep-learning assisted, single-molecule imaging analysis of multi-color DNA origami structures.

Single-molecule experiments have changed the way we explore the physical world, yet data analysis re...

Oct 2023 37848439

Deep learning based on susceptibility-weighted MR sequence for detecting cerebral microbleeds and classifying cerebral small vessel disease.

BACKGROUND: Cerebral microbleeds (CMBs) serve as neuroimaging biomarkers to assess risk of intracere...

Oct 2023 37848906

Improving Enhancer Identification with a Multi-Classifier Stacked Ensemble Model.

Enhancers are DNA regions that are responsible for controlling the expression of genes. Enhancers ar...

Oct 2023 37852600

KDeep: a new memory-efficient data extraction method for accurately predicting DNA/RNA transcription factor binding sites.

This paper addresses the crucial task of identifying DNA/RNA binding sites, which has implications i...

Oct 2023 37845681

[The Swecrit Biobank, associated clinical registries, and machine learning (artificial intelligence) improve critical care knowledge].

The unique Swecrit Biobank and its associated clinical registries for sepsis, ARDS, cardiac arrest, ...

Oct 2023 37846149

Predicting 3D RNA structure from the nucleotide sequence using Euclidean neural networks.

Fast and accurate 3D RNA structure prediction remains a major challenge in structural biology, mostl...

Oct 2023 37838833

c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer's disease.

BACKGROUND: Alzheimer's disease (AD) is an incurable, debilitating neurodegenerative disorder. Curre...

Oct 2023 37833700

Epigenetic target identification strategy based on multi-feature learning.

The identification of potential epigenetic targets for a known bioactive compound is essential and p...

Oct 2023 37827992

The impact of misclassification errors on the performance of biomarkers based on next-generation sequencing, a simulation study.

The development of next-generation sequencing (NGS) opens opportunities for new applications such as...

Oct 2023 37819021

One label is all you need: Interpretable AI-enhanced histopathology for oncology.

Artificial Intelligence (AI)-enhanced histopathology presents unprecedented opportunities to benefit...

Oct 2023 37832751

Enhanced detection of Listeria monocytogenes using tetraethylenepentamine-functionalized magnetic nanoparticles and LAMP-CRISPR/Cas12a-based biosensor.

BACKGROUND: Listeria monocytogenes is a pathogenic bacterium that can lead to severe illnesses, espe...

Oct 2023 38783743

Deep learning-assisted high-content screening identifies isoliquiritigenin as an inhibitor of DNA double-strand breaks for preventing doxorubicin-induced cardiotoxicity.

BACKGROUND: Anthracyclines including doxorubicin are essential components of many cancer chemotherap...

Oct 2023 37807075

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EGeRepDR: An enhanced genetic-based representation learning for drug repurposing using multiple biomedical sources.

Chromosome classification via deep learning and its application to patients with structural abnormalities of chromosomes.

Deep-LASI: deep-learning assisted, single-molecule imaging analysis of multi-color DNA origami structures.

Deep learning based on susceptibility-weighted MR sequence for detecting cerebral microbleeds and classifying cerebral small vessel disease.

Improving Enhancer Identification with a Multi-Classifier Stacked Ensemble Model.

KDeep: a new memory-efficient data extraction method for accurately predicting DNA/RNA transcription factor binding sites.

[The Swecrit Biobank, associated clinical registries, and machine learning (artificial intelligence) improve critical care knowledge].

Predicting 3D RNA structure from the nucleotide sequence using Euclidean neural networks.

c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer's disease.

Epigenetic target identification strategy based on multi-feature learning.

The impact of misclassification errors on the performance of biomarkers based on next-generation sequencing, a simulation study.

One label is all you need: Interpretable AI-enhanced histopathology for oncology.

Enhanced detection of Listeria monocytogenes using tetraethylenepentamine-functionalized magnetic nanoparticles and LAMP-CRISPR/Cas12a-based biosensor.

disperseNN2: a neural network for estimating dispersal distance from georeferenced polymorphism data.

Inherently interpretable position-aware convolutional motif kernel networks for biological sequencing data.

A Machine-Learning-Based Approach to Prediction of Biogeographic Ancestry within Europe.

Ultra-fast deep-learned CNS tumour classification during surgery.

Emerging applications of machine learning in genomic medicine and healthcare.

Reliable interpretability of biology-inspired deep neural networks.

Patient Graph Deep Learning to Predict Breast Cancer Molecular Subtype.

Deep learning-assisted high-content screening identifies isoliquiritigenin as an inhibitor of DNA double-strand breaks for preventing doxorubicin-induced cardiotoxicity.

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