Genetics

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

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DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning.

Genome-wide association studies (GWAS) identify genetic variants associated with traits or diseases....

Characterization of low level viraemia in HIV-infected patients receiving boosted protease inhibitor-based antiretroviral regimens.

To understand the pathogenesis of low level viraemia (LLV) in HIV-infected patients on boosted prote...

Deep neural networks for interpreting RNA-binding protein target preferences.

Deep learning has become a powerful paradigm to analyze the binding sites of regulatory factors incl...

A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival.

BACKGROUND: Breast cancer intrinsic molecular subtype (IMS) as classified by the expression-based PA...

Heterogeneous Multi-Layered Network Model for Omics Data Integration and Analysis.

Advances in next-generation sequencing and high-throughput techniques have enabled the generation of...

Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals.

Genome-wide association analyses have uncovered multiple genomic regions associated with T2D, but id...

Deep learning for plant genomics and crop improvement.

Our era has witnessed tremendous advances in plant genomics, characterized by an explosion of high-t...

Genome-scale transcriptional dynamics and environmental biosensing.

Genome-scale technologies have enabled mapping of the complex molecular networks that govern cellula...

Next-generation drug repurposing using human genetics and network biology.

Drug repurposing has attracted increased attention, especially in the context of drug discovery rate...

Prognostic factors of Rapid symptoms progression in patients with newly diagnosed parkinson's disease.

Tracking symptoms progression in the early stages of Parkinson's disease (PD) is a laborious endeavo...

Artificial Intelligence for Cardiac Imaging-Genetics Research.

Cardiovascular conditions remain the leading cause of mortality and morbidity worldwide, with genoty...

Pilot Study to Establish a Novel Five-Gene Biomarker Panel for Predicting Lymph Node Metastasis in Patients With Early Stage Endometrial Cancer.

In the United States and Europe, endometrial endometrioid carcinoma (EEC) is the most prevalent gyn...

Incorporating biological structure into machine learning models in biomedicine.

In biomedical applications of machine learning, relevant information often has a rich structure that...

Integrating Computational Methods to Investigate the Macroecology of Microbiomes.

Studies in microbiology have long been mostly restricted to small spatial scales. However, recent te...

Characterizing Protein-Ligand Binding Using Atomistic Simulation and Machine Learning: Application to Drug Resistance in HIV-1 Protease.

Over the past several decades, atomistic simulations of biomolecules, whether carried out using mole...

Integrated Hypothalamic Transcriptome Profiling Reveals the Reproductive Roles of mRNAs and miRNAs in Sheep.

Early studies have provided a wealth of information on the functions of microRNAs (miRNAs). However,...

Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data.

DNA methylation data-based precision cancer diagnostics is emerging as the state of the art for mole...

VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning.

Antimicrobial resistance (AMR) is an increasing threat to public health. Current methods of determin...

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