Genetics

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

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Epigenetic conditioning improves sequence-based modeling of gene regulation across cell types and alleles

Epigenetic state modulates gene regulation in a manner not always predictable from DNA sequence alon...

CytoGem-XAI:A Hypergraph Neural Network Framework for Genome-Scale Metabolic Modeling and Interpretable Analysis

Genome-scale metabolic models are essential for understanding cellular metabolism, yet existing deep...

CREP: Cis-Regulatory Element Predictor Based on Fine-Tuned Enformer

A substantial fraction of disease-associated genetic variants reside in non-coding regions of the ge...

Enformer-Based Phylogenetic Tree Reconstruction

Enformer is a deep learning model trained on human and mouse genomes to predict regulatory activity ...

DRIFT: From Robustness Gaps to Invariance Manifolds for AI-Generated Image Detection

The rapid evolution of generative image models challenges existing AI-generated image detectors, par...

Robust Multi-Mutant Protein Stability Prediction from a Fine-Tuned Evolutionary Scale Model

Recently, high-throughput experimental techniques have propelled improvements in deep learning-based...

MultiAge: A New Multidimensional Biomarker of Biological Age Derived from Comprehensive Phenotypic and Molecular Profiling

Background: It is an everyday observation that people of the same chronological age differ with resp...

Let It Be Simple: One-Step Action Generation for Vision-Language-Action Models

Diffusion-based vision-language-action (VLA) models often inherit the image-generation view: actions...

$p$-adic Bi-Filtrations for Topological Machine Learning on Genomic Sequences

We introduce pVR, a topological machine learning framework for alignment-free genomic sequence class...

In-Context Multiple Instance Learning

Multiple Instance Learning (MIL) addresses problems where supervision is available at the level of b...

Vibe Coding Specificity Foundation Models

Molecular recognition - the determination of which agent binds which target - governs adaptive immun...

R-loop Prediction Reveals Generalization Limits of DNA Foundation Models Beyond Regulatory Genomics

DNA foundation models are increasingly proposed as general-purpose representations for genomic predi...

Learning residue-level context for modeling protein-protein interactions

Protein language models (PLMs) enable prediction of protein properties by learning residue-level fea...

An interpretable machine learning framework for dog breed inference and ancestry decomposition

The over 300 currently recognized breeds of domesticated dogs are the culmination of centuries of in...

Convergent genome- and gene-level constraints shape repeated environmental adaptation in grasses

Grasses (Poaceae) dominate terrestrial ecosystems and sustain global food security, yet the genomic ...

The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups

T-cell acute lymphoblastic leukemia (T-ALL) comprises molecularly diverse subtypes, but robust cross...

MAGI: Mechanistic Consequences of Genetic Variants via Genomic Foundation Models

Clinical variant interpretation requires mechanism-aware evidence to guide diagnosis and clarify the...

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