Genetics

Interpretable Deep Survival Analysis of Alzheimer's Disease via Metabolic Genetic Variants.

BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disease. Traditional models ...

Mutational signatures in blood-brain barrier: mechanisms, computational insights, and clinical applications in precision oncology.

The blood - brain barrier (BBB) plays a central role in maintaining central nervous system (CNS) hom...

Is the molecular microenvironment of the latent HIV reservoir predictable using deep learning approaches?

Although current antiretroviral therapy effectively suppresses viral replication in infected individ...

Identification of tolerogenic dendritic cells-related prognostic biomarkers in Wilms tumor via machine learning integration.

Wilms tumor (WT) is the most common pediatric kidney cancer. Tolerogenic dendritic cells (TolDCs) pr...

Integrating single-cell RNA and bulk RNA sequencing data to identify prognostic genes associated with pyrimidine metabolism in triple-negative breast cancer by machine learning algorithm combinations.

BACKGROUND: Pyrimidine metabolism plays a crucial role in DNA synthesis and cell proliferation and i...

The complexity of pain in osteoarthritis.

Chronic pain is the hall-mark symptom of osteoarthritis (OA) and although several therapies are avai...

Genetic association and machine learning improve the prediction of type 1 diabetes risk.

Type 1 diabetes (T1D) has a large genetic component, and expanded genetic studies of T1D can enhance...

Peripheral blood mononuclear cell DNA methylation signatures guide surgical decision-making in indeterminate pulmonary nodules.

BACKGROUND: Distinguishing malignant from benign pulmonary nodules remained a significant clinical c...

Integration of 117 machine learning algorithms and single-cell transcriptomics identifies macrophage polarization and ER stress signatures for cancer prognosis and precision therapy.

BACKGROUND: Macrophage polarization and endoplasmic reticulum (ER) stress play critical yet incomple...

Integration of Single-Cell RNA Sequencing and Machine Learning to Identify and Validate Prognostic Genes With Lymph Node Metastasis and Immune Cell Signatures in Lung Adenocarcinoma.

The poor prognosis of lung adenocarcinoma (LUAD) remains unimproved. This study aimed to identify ly...

Design of Safe and Efficient Adenine Base Editors via Protein Language Model Screening for Osteoarthritis Treatment.

Base editors enable precise genome modification and have emerged as a promising therapeutic approach...

Deep Learning for Survival Prediction in Glioblastoma: Time-dependent Model Interpretability Using MRI, Clinical, and Molecular Data.

Purpose To develop a multimodal model for survival prediction and time-dependent model interpretabil...

Mapping functional non-coding variation in individual human genomes through haplotyping, multiomics, and deep learning.

Most genetic variants in the human genome reside in non-coding regions, where they can perturb regul...

scDecorr: feature decorrelation based representation learning enables self-supervised alignment of multiple single-cell experiments.

Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneit...

Construction and validation of a glycosylation-related diagnostic model and immune characterization in lupus nephritis.

BACKGROUND: As a critical hallmark of systemic lupus erythematosus, lupus nephritis (LN) stands as a...

Temporal dynamics and stability of the human microbiome for forensic individual identification.

The human microbiome is ubiquitous across nearly all body sites and exhibits biological characterist...

The Role of Molecular Testing in Head and Neck Squamous Cell Carcinoma of Unknown Primary.

Squamous cell carcinomas of unknown primary (SCCUP), accounting for approximately 5% of head and nec...

Divide-and-conquer analysis reveals hidden immune cell influencers across the placenta in preeclampsia.

BACKGROUND: Placenta is a focal point of cellular interactions of maternal and fetal immune systems,...

Genetic Predictors of Progression and Skin Rash in Japanese mCSPC Patients Treated With Apalutamide: CUARTET Study.

Despite promising evidence of the efficacy of the androgen deprivation therapy (ADT) plus apalutamid...

Deep learning-driven prediction of on-target activity, off-target risk, and repair outcomes in CRISPR/Cas9: current landscape and multi-scale perspectives.

Circulating miR-10b-5p as a Candidate Biomarker of Atrial Fibrillation Recurrence After Catheter Ablation: A Two-Phase Translational Study.

BACKGROUND: The identification of reliable biomarkers for atrial fibrillation (AF) recurrence post-c...