Genetics

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

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GlioVision: A Multi-Modal MRI Framework for Non-Invasive Glioma Molecular Biomarkers Prediction

Gliomas are aggressive primary brain tumors that necessitate critical molecular biomarker prediction...

Housekeeping Gene Expression Normalization in Transcriptomics Mitigates Data Leakage in Machine Learning Models

Background: Inappropriate normalization can lead to data leakage and overfitting in machine learning...

GenNA: Conditional generation of nucleotide sequences guided by natural-language annotations

Deciphering the mapping between linear biomolecular sequences and complex biological functions remai...

SNPic: SNP Topic Modeling for Interpretable Clustering of Complex phenotypes

Genome-wide association studies (GWAS) have cataloged thousands of disease-associated variants, yet ...

CellPulse: A Foundation Model of Coordinated Gene Dynamics Simulating Viral Infectious Diseases

Understanding how cells respond to perturbations like viral infections requires models capturing coo...

Turep: Detecting cross-cancer tumor-reactive T cells in single-cell and spatial transcriptomics data

Tumor-infiltrating lymphocytes are essential for anti-tumor immunity, yet distinguishing tumor-react...

Cross-Attention Over RNA And Protein Sequences Enables Generalizable Interaction Prediction

Computational predictions are essential to characterize the RNA-protein interaction landscape, yet a...

OneGenomeRice (OGR): A Genomic Foundation Model for Rice

The transition of genomics to a predictive intelligence discipline is driven by the advent of genomi...

Back to BERT in 2026: ModernGENA as a Strong, Efficient Baseline for DNA Foundation Models

Recent advances in DNA language models have mainly come from building larger and more complex archit...

GeneBench: Assessing AI Agents for Multi-Stage Inference Problems in Genomics and Quantitative Biology

We introduce GeneBench, a benchmark for AI agents on realistic multi-stage scientific data analysis ...

Entrenchment of germline amino-acid differences in antibody affinity maturation

Entrenchment - epistasis that locks in amino acid differences between homologous proteins, so each d...

Evaluating Post-hoc Explanations of the Transformer-based Genome Language Model DNABERT-2

Explaining deep neural network predictions on genome sequences enables biological insight and hypoth...

Optimizing Diffusion Priors with a Single Observation

While diffusion priors generate high-quality posterior samples across many inverse problems, they ar...

Causal-Transformer with Adaptive Mutation-Locking for Early Prediction of Acute Kidney Injury

Accurate early prediction of Acute Kidney Injury (AKI) is critical for timely clinical intervention....

X-PCR: A Benchmark for Cross-modality Progressive Clinical Reasoning in Ophthalmic Diagnosis

Despite significant progress in Multi-modal Large Language Models (MLLMs), their clinical reasoning ...

DistortBench: Benchmarking Vision Language Models on Image Distortion Identification

Vision-language models (VLMs) are increasingly used in settings where sensitivity to low-level image...

Target Parameterization in Diffusion Models for Nonlinear Spatiotemporal System Identification

Machine learning is becoming increasingly important for nonlinear system identification, including d...

Enabling the prediction of phage receptor specificity from genome data

Predicting which receptor a phage binds to from genome sequence alone has remained an intractable ch...

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