Genetics

Genetics

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

11,216 articles

Subcategories: Genetics

Showing 7267-7287 of 11,216 articles

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement

While deep generative models have significantly advanced representation learning, they may inherit...

Mar 2025 http://arxiv.org/abs/2503.07938v1

Towards a Multimodal MRI-Based Foundation Model for Multi-Level Feature Exploration in Segmentation, Molecular Subtyping, and Grading of Glioma

Accurate, noninvasive glioma characterization is crucial for effective clinical management. Tradit...

Mar 2025 http://arxiv.org/abs/2503.06828v1

Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy

Model merging is a technique that combines multiple finetuned models into a single model without a...

Mar 2025 http://arxiv.org/abs/2503.07661v1

Joint graphical model estimation using Stein-type shrinkage for fast large scale network inference in scRNAseq data

Graphical modeling is a widely used tool for analyzing conditional dependencies between variables ...

Mar 2025 http://arxiv.org/abs/2503.05448v1

Large Language Models in Bioinformatics: A Survey

Large Language Models (LLMs) are revolutionizing bioinformatics, enabling advanced analysis of DNA...

Mar 2025 http://arxiv.org/abs/2503.04490v1

Biological Sequence with Language Model Prompting: A Survey

Large Language models (LLMs) have emerged as powerful tools for addressing challenges across diver...

Mar 2025 http://arxiv.org/abs/2503.04135v1

TEDDY: A Family Of Foundation Models For Understanding Single Cell Biology

Understanding the biological mechanism of disease is critical for medicine, and in particular drug...

Mar 2025 http://arxiv.org/abs/2503.03485v1

Enabling Fast, Accurate, and Efficient Real-Time Genome Analysis via New Algorithms and Techniques

The advent of high-throughput sequencing technologies has revolutionized genome analysis by enabli...

Mar 2025 http://arxiv.org/abs/2503.02997v1

COME: contrastive mapping learning for spatial reconstruction of single-cell RNA sequencing data.

MOTIVATION: Single-cell RNA sequencing (scRNA-seq) enables high-throughput transcriptomic profiling ...

Mar 2025 39992219

Cox-Sage: enhancing Cox proportional hazards model with interpretable graph neural networks for cancer prognosis.

High-throughput sequencing technologies have facilitated a deeper exploration of prognostic biomarke...

Mar 2025 40067266

Optimizing sample size for supervised machine learning with bulk transcriptomic sequencing: a learning curve approach.

Accurate sample classification using transcriptomics data is crucial for advancing personalized medi...

Mar 2025 40072846

DRAG: design RNAs as hierarchical graphs with reinforcement learning.

The rapid development of RNA vaccines and therapeutics puts forward intensive requirements on the se...

Mar 2025 40079262

Deep learning-driven survival prediction in pan-cancer studies by integrating multimodal histology-genomic data.

Accurate cancer prognosis is essential for personalized clinical management, guiding treatment strat...

Mar 2025 40116660

BAMBI integrates biostatistical and artificial intelligence methods to improve RNA biomarker discovery.

RNA biomarkers enable early and precise disease diagnosis, monitoring, and prognosis, facilitating p...

Mar 2025 40121554

MethPriorGCN: a deep learning tool for inferring DNA methylation prior knowledge and guiding personalized medicine.

DNA methylation plays a crucial role in human diseases pathogenesis. Substantial experimental eviden...

Mar 2025 40131311

MUTATE: a human genetic atlas of multiorgan artificial intelligence endophenotypes using genome-wide association summary statistics.

Artificial intelligence (AI) has been increasingly integrated into imaging genetics to provide inter...

Mar 2025 40135505

EMcnv: enhancing CNV detection performance through ensemble strategies with heterogeneous meta-graph neural networks.

Copy number variation (CNV) is a crucial biomarker for many complex traits and diseases. Although nu...

Mar 2025 40163821

CoupleVAE: coupled variational autoencoders for predicting perturbational single-cell RNA sequencing data.

With the rapid advances in single-cell sequencing technology, it is now feasible to conduct in-depth...

Mar 2025 40178283

Deep learning in single-cell and spatial transcriptomics data analysis: advances and challenges from a data science perspective.

The development of single-cell and spatial transcriptomics has revolutionized our capacity to invest...

Mar 2025 40185158

A graph neural network approach for accurate prediction of pathogenicity in multi-type variants.

Accurate prediction of pathogenic variants in human disease-associated genes would have a profound e...

Mar 2025 40251830

Mutual-assistance learning for trustworthy biomarker discovery and disease prediction.

Integrating and analyzing multiple omics datasets, such as genomics, environmental influences, and i...

Mar 2025 40254831

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