Genetics

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

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Showing 505-525 of 10,339 articles
Topological Machine Learning for Protein-Nucleic Acid Binding Affinity Changes Upon Mutation.

Understanding how protein mutations affect protein-nucleic acid binding is critical for unraveling d...

Role of multi-omics in aquaculture genetics and breeding: current status and future perspective.

Aquaculture, a fast-growing sector, plays an important role in the supply of nutrient-rich food for ...

PhenoLinker: Phenotype-gene link prediction and explanation using heterogeneous graph neural networks.

The association of a given human phenotype with a genetic variant remains a critical challenge in bi...

Integrating genome editing with omics, artificial intelligence and advanced farming technologies to increase crop productivity.

Celebrated for boosting agricultural productivity and enhancing food security worldwide, the green r...

Single-cell data combined with phenotypes improves variant interpretation.

BACKGROUND: Whole genome sequencing offers significant potential to improve the diagnosis and treatm...

Variant calling from RNA-Seq data reveals allele-specific differential expression of pathogenic cancer variants.

BACKGROUND: Genetic variants play a pivotal role in the initiation and progression of many diseases,...

Exploring the genetic characteristics of overweight-related osteoarthritis using machine learning.

This investigation employed a synergistic approach integrating bioinformatics and machine learning m...

Genomic advancements in goat breeding: enhancing productivity, disease resistance, and sustainability in India's rural economy.

Goats are vital to the rural economy of India, contributing significantly to livelihoods, nutrition,...

Immunotyping the Tumor Microenvironment Reveals Molecular Heterogeneity for Personalized Immunotherapy in Cancer.

The tumor microenvironment (TME) significantly influences cancer prognosis and therapeutic outcomes,...

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction.

PURPOSE: Recent advances in machine learning have led to the development of classifiers that predict...

The Role of PANoptosis-Related Genes in Predicting Breast Cancer Survival and Immune Prospect.

The function of PANoptosis in breast cancer (BC) remains indistinct. We constructed a nomogram mode...

Baseline Radiomics as a Prognostic Tool for Clinical Benefit from Immune Checkpoint Inhibition in Inoperable NSCLC Without Activating Mutations.

Checkpoint inhibitors (ICIs) are key therapies for NSCLC, but current selection criteria, such as e...

[Progress of individualized precision therapy for peritoneal metastasis in gastric cancer].

Peritoneal metastasis represents the most aggressive form of gastric cancer metastasis and serves as...

scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling.

BACKGROUND: Single-cell RNA sequencing (scRNA-Seq) technology reveals biological processes and molec...

Diversity of U1 Small Nuclear RNAs and Diagnostic Methods for Their Mutations.

U1 small nuclear RNA (snRNA) mutations are recurrent non-coding alterations found in various maligna...

Compositional Physical Reasoning of Objects and Events from Videos.

Understanding and reasoning about objects' physical properties in the natural world is a fundamental...

Hypertension precision medicine: the promise and pitfalls of pharmacogenomics.

Pharmacogenomics (PGx) has the potential to revolutionize hypertension management by tailoring antih...

Prediction of CRISPR-Cas9 on-target activity based on a hybrid neural network.

CRISPR-Cas9 is a groundbreaking gene editing technology, but variations in targeted editing efficien...

Optimizing phage therapy with artificial intelligence: a perspective.

Phage therapy is emerging as a promising strategy against the growing threat of antimicrobial resist...

Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review.

As a major worldwide health concern, influenza still requires precise modeling of flu dynamics and e...

TaxaCal: enhancing species-level profiling accuracy of 16S amplicon data.

BACKGROUND: 16S rRNA amplicon sequencing is a widely used method for microbiome composition analysis...

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