Genetics

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

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Showing 211-231 of 10,326 articles
Analysis of Single-Cell RNA-Seq Data to Investigate Tumor Cell Heterogeneity in Uroepithelial Bladder Cancer and Predict Immunotherapy Response.

BACKGROUND: Numerous studies have suggested a close association between cancer stem cells (CSCs) and...

Hierarchical Prediction and Perturbation of Chromatin Organization Reveal How Loop Domains Mediate Higher-Order Architectures.

The genome is folded within the dense cell nucleus in a hierarchical manner, resulting in complex in...

Interpretability-guided RNA N-methyladenosine modification site prediction with invertible neural networks.

As one of the most common and abundant post-transcriptional modifications, N-methyladenosine (mA) ha...

Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in trauma-induced coagulopathy.

Despite advancements in trauma care, uncontrolled hemorrhage and trauma-induced coagulopathy (TIC) r...

Citywide metagenomic surveillance of food centres reveals local microbial signatures and antibiotic resistance gene enrichment.

The distribution of microorganisms in built environments with high human traffic, such as food centr...

Identifying propionate metabolism-related genes as biomarkers of sepsis development and therapeutic targets.

The treatment of sepsis is challenging due to unclear mechanisms. Propionate is increasingly seen as...

Unveiling aging heterogeneities in human dermal fibroblasts via nanosensor chemical cytometry.

Aging heterogeneity in tissue-regenerative cells leads to variable therapeutic outcomes, complicatin...

The Impact of Genetic and Acquired Risk Factors on Thromboembolic Events: A Retrospective Study.

This study, involving a cohort of 980 patients with arterial and/or venous events, evaluated the rel...

AncestryGeni: A novel genetic ancestry classification pipeline for small and noisy sequence data.

MOTIVATION: Efforts to address health disparities are often limited by the lack of robust computatio...

Evaluating cell-free DNA integrity index as a non-invasive biomarker for neoadjuvant chemotherapy in colorectal cancer patients.

BACKGROUND: Neoadjuvant chemotherapy (NAC) is gaining attention as a treatment for advanced colorect...

Early detection of emerging SARS-CoV-2 Variants from wastewater through genome sequencing and machine learning.

Genome sequencing from wastewater enables accurate and cost-effective identification of SARS-CoV-2 v...

Overcoming limitations to customize DeepVariant for domesticated animals with TrioTrain.

Generating high-quality variant callsets across diverse species remains challenging as most bioinfor...

Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network.

Accurate risk assessment in international trade settlement has become increasingly critical as globa...

Multi-task genomic prediction using gated residual variable selection neural networks.

BACKGROUND: The recent development of high-throughput sequencing techniques provide massive data tha...

Dynamicasome-a molecular dynamics-guided and AI-driven pathogenicity prediction catalogue for all genetic mutations.

Advances in genomic medicine accelerate the identification of mutations in disease-associated genes,...

Multi-omics analysis of the effects of pla2g4a on the prognosis of various cancers and its experimental validation in breast cancer cell lines.

BACKGROUND: Platelet-related exosomes (PREs) are microparticles secreted by platelets into the blood...

Identification and validation of glucocorticoid receptor and programmed cell death-related genes in spinal cord injury using machine learning.

Spinal cord injury (SCI) is a severe neurological disorder, with glucocorticoids like methylpredniso...

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