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Subcategories: Genetics

Showing 7309-7329 of 11,216 articles

Hallucination Detection in Large Language Models with Metamorphic Relations

Large Language Models (LLMs) are prone to hallucinations, e.g., factually incorrect information, i...

Feb 2025 http://arxiv.org/abs/2502.15844v2

Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism

Binary Spiking Neural Networks (BSNNs) inherit the eventdriven paradigm of SNNs, while also adopti...

Feb 2025 http://arxiv.org/abs/2502.14344v1

[Exploration of the Predictive Value of Peripheral Blood-related Indicators for EGFR  Mutations and Prognosis in Non-small Cell Lung Cancer Using Machine Learning].

BACKGROUND: Epidermal growth factor receptor (EGFR) sensitive mutation is one of the effective targe...

Feb 2025 40114487

Optimizing Gene-Based Testing for Antibiotic Resistance Prediction

Antibiotic Resistance (AR) is a critical global health challenge that necessitates the development...

Feb 2025 http://arxiv.org/abs/2502.14919v1

Learning to Discover Regulatory Elements for Gene Expression Prediction

We consider the problem of predicting gene expressions from DNA sequences. A key challenge of this...

Feb 2025 http://arxiv.org/abs/2502.13991v1

BOLIMES: Boruta and LIME optiMized fEature Selection for Gene Expression Classification

Gene expression classification is a pivotal yet challenging task in bioinformatics, primarily due ...

Feb 2025 http://arxiv.org/abs/2502.13080v2

A linear-time algorithm computing the resident fitness in interacting trajectories

The notion of a system of interacting trajectories was recently introduced by Hermann, Gonz\'alez ...

Feb 2025 http://arxiv.org/abs/2502.11561v1

Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy

Model merging is a widespread technology in large language models (LLMs) that integrates multiple ...

Feb 2025 http://arxiv.org/abs/2502.11533v1

Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models

Visual instruction tuning has become the predominant technology in eliciting the multimodal task-s...

Feb 2025 http://arxiv.org/abs/2502.11427v1

HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model

Advances in natural language processing and large language models have sparked growing interest in...

Feb 2025 http://arxiv.org/abs/2502.10807v2

ControllableGPT: A Ground-Up Designed Controllable GPT for Molecule Optimization

Large Language Models (LLMs) employ three popular training approaches: Masked Language Models (MLM...

Feb 2025 http://arxiv.org/abs/2502.10631v1

Complex Network Modelling with Power-law Activating Patterns and Its Evolutionary Dynamics

Complex network theory provides a unifying framework for the study of structured dynamic systems. ...

Feb 2025 http://arxiv.org/abs/2502.09768v1

Genetic Data Governance in Crisis: Policy Recommendations for Safeguarding Privacy and Preventing Discrimination

Genetic data collection has become ubiquitous today. The ability to meaningfully interpret genetic...

Feb 2025 http://arxiv.org/abs/2502.09716v1

Leveraging Machine Learning and Deep Learning Techniques for Improved Pathological Staging of Prostate Cancer

Prostate cancer (Pca) continues to be a leading cause of cancer-related mortality in men, and the ...

Feb 2025 http://arxiv.org/abs/2502.09686v1

scMamba: A Pre-Trained Model for Single-Nucleus RNA Sequencing Analysis in Neurodegenerative Disorders

Single-nucleus RNA sequencing (snRNA-seq) has significantly advanced our understanding of the dise...

Feb 2025 http://arxiv.org/abs/2502.19429v1

Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data

Cancer evolves continuously over time through a complex interplay of genetic, epigenetic, microenv...

Feb 2025 http://arxiv.org/abs/2502.07836v2

CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation

The integration of single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data is...

Feb 2025 http://arxiv.org/abs/2502.07751v1

Whole-Genome Phenotype Prediction with Machine Learning: Open Problems in Bacterial Genomics

How can we identify causal genetic mechanisms that govern bacterial traits? Initial efforts entrus...

Feb 2025 http://arxiv.org/abs/2502.07749v1

Life-Code: Central Dogma Modeling with Multi-Omics Sequence Unification

The interactions between DNA, RNA, and proteins are fundamental to biological processes, as illust...

Feb 2025 http://arxiv.org/abs/2502.07299v1

GENERator: A Long-Context Generative Genomic Foundation Model

Advancements in DNA sequencing technologies have significantly improved our ability to decode geno...

Feb 2025 http://arxiv.org/abs/2502.07272v3

A Simple yet Effective DDG Predictor is An Unsupervised Antibody Optimizer and Explainer

The proteins that exist today have been optimized over billions of years of natural evolution, dur...

Feb 2025 http://arxiv.org/abs/2502.06913v2