Genetics

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

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Showing 6490-6510 of 11,181 articles
Hierarchy-Guided Multimodal Representation Learning for Taxonomic Inference

Accurate biodiversity identification from large-scale field data is a foundational problem with dire...

A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data

Single-cell RNA sequencing (scRNA-seq) is inherently affected by sparsity caused by dropout events, ...

Learning relationships in epidemiological data using graph neural networks

When designing control strategies for an infectious disease it is critical to identify the key pathw...

Fully Automated Abstraction of Longitudinal Breast Oncology Records with Off-The-Shelf Large Language Models

Background: Manual chart abstraction is a major bottleneck in clinical research. In oncology, import...

Tokenization to Transfer: Do Genomic Foundation Models Learn Good Representations?

The success of Large Language Models has inspired the development of Genomic Foundation Models (GFMs...

Central Dogma Transformer III: Interpretable AI Across DNA, RNA, and Protein

Biological AI models increasingly predict complex cellular responses, yet their learned representati...

SynLeaF: A Dual-Stage Multimodal Fusion Framework for Synthetic Lethality Prediction Across Pan- and Single-Cancer Contexts

Accurate prediction of synthetic lethality (SL) is important for guiding the development of cancer d...

PPGL-Swarm: Integrated Multimodal Risk Stratification and Hereditary Syndrome Detection in Pheochromocytoma and Paraganglioma

Pheochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumors, of which 15-25% develop...

Novel 4D tensor decomposition-based approach integrating tri-omics profiling data can identify functionally relevant gene clusters

Integrating transcriptome, translatome, and proteome data remains challenging because changes in mRN...

Hidden Diversity in Yeast tRNAs: Comparative Genomics and Modification Mapping in a Eukaryotic Subphylum

tRNA are adapter molecules with an integral role in translation and further roles in stress adaptati...

Evolution as Active Geometry: The Geometric State Equation of the Tree of Life

Any process that generates information at a constant rate into a branching hierarchy faces a geometr...

Improving genomic language model reliability under distribution shift

Transformer-based Genomic Language Models (GLMs) have achieved strong performance across diverse gen...

Designing mRNA coding sequence via multimodal reverse translation language modeling with Pro2RNA

mRNA coding sequence design is a critical component in the development of mRNA vaccines, nucleic aci...

Evolutionary and Deep Learning Models Highlight Deleterious Mutations Behind the History of Sugar Beet Breeding

Sugar beet (Beta vulgaris ssp. vulgaris) is a major global source of sucrose. Domestication and a hi...

RNAGAN: Train One and Get Four, Multipurpose Human RNA-Seq Analysis Tool with Enhanced Interpretability and Small Data Size Capability

The advent of artificial intelligence (AI) has brought revolutionary tools for biomedical transcript...

X-Cell: Scaling Causal Perturbation Prediction Across Diverse Cellular Contexts via Diffusion Language Models

Causal models of cellular systems hold the promise to empower broad biological discovery, including ...

Machine Learning Enabled Smartphone CRISPR-Cas12a Lateral Flow Platform for Sensitive Detection of Circulating HPV DNA

Persistent infection with high-risk human papillomavirus (HPV) is the primary cause of cervical canc...

Spatio-temporal mapping of immune cell dynamics during human sequential lymph node metastasis

Regional lymph node (LN) metastasis critically influences distant metastatic progression, anti-tumou...

Enabling high-plex spectral imaging via DNA-barcoded signal tuning and panel optimization

High-plex spectral imaging has the potential to transform the analysis of spatial organization in ce...

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