Genetics

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

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Inheritance Between Feedforward and Convolutional Networks via Model Projection

Techniques for feedforward networks (FFNs) and convolutional networks (CNNs) are frequently reused a...

Dataset Distillation via Relative Distribution Matching and Cognitive Heritage

Dataset distillation seeks to synthesize a highly compact dataset that achieves performance comparab...

CLIP-Map: Structured Matrix Mapping for Parameter-Efficient CLIP Compression

Contrastive Language-Image Pre-training (CLIP) has achieved widely applications in various computer ...

Better Source, Better Flow: Learning Condition-Dependent Source Distribution for Flow Matching

Flow matching has recently emerged as a promising alternative to diffusion-based generative models, ...

Deconvolving mutation effects on protein stability and function with disentangled protein language models

Understanding how evolutionary constraints shape protein sequences is fundamental to deciphering the...

Hierarchical Representation Learning for Drug Mechanism-of-Action Prediction from Gene Expression Data

Deciphering drug mechanisms of action (MoAs) from transcriptional responses is key for discovery and...

Comparing metabolic engineering scenarios using simulated design-build-test-learn-cycles

Design-Build-Test-Learn (DBTL) cycles are a widely employed engineering framework in metabolic engin...

Explainable Deep-Learning on condition specific expression profiles reveals critical cytosines in gene regulation

Compared to other nucleotides, the cytosines stand as the most expressive one for gene regulation in...

Structure-aware Graph Learning Predicts RNA Editability Across Tissues and Species

Programmable A-to-I RNA editing using endogenous ADAR enzymes is emerging as a therapeutic strategy,...

AbNovoBench: a resource and benchmarking platform for monoclonal antibody de novo sequencing

Monoclonal antibodies (mAbs) are critical in disease diagnostics and therapeutics, yet the performan...

Large mRNA language foundation modeling with NUWA for unified sequence perception and generation

The mRNA serves as a crucial bridge between DNA and proteins. Compared to DNA, mRNA sequences are mu...

Prediction of Mutations and Outcome in Gastrointestinal Stromal Tumors with Deep Learning: A Multicenter, Multinational Study

Background: Gastrointestinal stromal tumor (GIST) is the most common gastrointestinal mesenchymal tu...

G2DBridge: A Multimodal Framework Linking Genetics to Disease through Imaging Intermediates

Genetic-based risk prediction is becoming increasingly available for a wide range of common diseases...

An agentic framework turns patient-sourced records into a multimodal map of ALS heterogeneity

ALS shows marked clinical heterogeneity, yet much real-world evidence remains trapped in unstructure...

GRAVITY: Dynamic gene regulatory network-enhanced RNA velocity modeling for trajectory inference and biological discovery

RNA velocity techniques have emerged as efficient tools for unraveling the complex trajectories of c...

Transcriptomics-based modeling of methionine metabolism effectively estimates sample-wise DNA methylation activity and epigenetic aging

DNA methylation is a central epigenetic modification that regulates gene expression, maintains genom...

DBSOMA: A Machine Learning Method that Identifies Chemical Modulators of Transcriptional States Uncovers Effectors of Beta-Cell Maturation

The effects of perturbation on a biological system can be readily measured in terms of transcription...

Preserving Localized Patch Semantics in VLMs

Logit Lens has been proposed for visualizing tokens that contribute most to LLM answers. Recently, L...

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