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Subcategories: Genetics

Showing 7330-7350 of 11,216 articles

KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation

Heterozygous mutations in KMT2B are associated with an early-onset, progressive, and often complex...

Feb 2025 http://arxiv.org/abs/2502.06320v1

Universal Approximation of Visual Autoregressive Transformers

We investigate the fundamental limits of transformer-based foundation models, extending our analys...

Feb 2025 http://arxiv.org/abs/2502.06167v1

QuantumDNA: A Python Package for Analyzing Quantum Charge Dynamics in DNA and Exploring Its Biological Relevance

The study of DNA charge dynamics is a highly interdisciplinary field that bridges physics, chemist...

Feb 2025 http://arxiv.org/abs/2502.06883v1

Predicting gene expression from histone marks using chromatin deep learning models depends on histone mark function, regulatory distance and cellular states.

To understand the complex relationship between histone mark activity and gene expression, recent adv...

Feb 2025 39660643

Probabilistic and machine-learning methods for predicting local rates of transcription elongation from nascent RNA sequencing data.

Rates of transcription elongation vary within and across eukaryotic gene bodies. Here, we introduce ...

Feb 2025 39964478

Using minor variant genomes and machine learning to study the genome biology of SARS-CoV-2 over time.

In infected individuals, viruses are present as a population consisting of dominant and minor varian...

Feb 2025 39970290

G2PDiffusion: Cross-Species Genotype-to-Phenotype Prediction via Evolutionary Diffusion

Understanding how genes influence phenotype across species is a fundamental challenge in genetic e...

Feb 2025 http://arxiv.org/abs/2502.04684v3

Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach

Alzheimer's Disease (AD) affects over 55 million people globally, yet the key genetic contributors...

Feb 2025 http://arxiv.org/abs/2502.03938v1

Diffusion-empowered AutoPrompt MedSAM

MedSAM, a medical foundation model derived from the SAM architecture, has demonstrated notable suc...

Feb 2025 http://arxiv.org/abs/2502.06817v2

Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning

Large Language Models (LLMs) demonstrate remarkable generalizability across diverse tasks, yet gen...

Feb 2025 http://arxiv.org/abs/2502.03499v1

Diagnosis of Alzheimer's disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data.

Alzheimer's disease is an irreversible central neurodegenerative disease, and early diagnosis of Alz...

Feb 2025 39756421

Position: Stop Acting Like Language Model Agents Are Normal Agents

Language Model Agents (LMAs) are increasingly treated as capable of autonomously navigating intera...

Feb 2025 http://arxiv.org/abs/2502.10420v1

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis

Functional MRI (fMRI) and single-cell transcriptomics are pivotal in Alzheimer's disease (AD) rese...

Feb 2025 http://arxiv.org/abs/2502.02630v1

Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data

The exploration of cellular heterogeneity within the tumor microenvironment (TME) via single-cell ...

Feb 2025 http://arxiv.org/abs/2502.02629v1

Graph Canonical Correlation Analysis

Canonical correlation analysis (CCA) is a widely used technique for estimating associations betwee...

Feb 2025 http://arxiv.org/abs/2502.01780v1

TFBS-Finder: Deep Learning-based Model with DNABERT and Convolutional Networks to Predict Transcription Factor Binding Sites

Transcription factors are proteins that regulate the expression of genes by binding to specific ge...

Feb 2025 http://arxiv.org/abs/2502.01311v1

Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics

Recent technological advances have introduced new high-throughput methods for studying host-virus ...

Feb 2025 http://arxiv.org/abs/2502.01012v1

Browse Categories

KMT2B-related disorders: expansion of the phenotypic spectrum and long-term efficacy of deep brain stimulation

Universal Approximation of Visual Autoregressive Transformers

QuantumDNA: A Python Package for Analyzing Quantum Charge Dynamics in DNA and Exploring Its Biological Relevance

Predicting gene expression from histone marks using chromatin deep learning models depends on histone mark function, regulatory distance and cellular states.

Probabilistic and machine-learning methods for predicting local rates of transcription elongation from nascent RNA sequencing data.

Using minor variant genomes and machine learning to study the genome biology of SARS-CoV-2 over time.

G2PDiffusion: Cross-Species Genotype-to-Phenotype Prediction via Evolutionary Diffusion

Unravelling Causal Genetic Biomarkers of Alzheimer's Disease via Neuron to Gene-token Backtracking in Neural Architecture: A Groundbreaking Reverse-Gene-Finder Approach

Diffusion-empowered AutoPrompt MedSAM

Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning

Diagnosis of Alzheimer's disease using FusionNet with improved secretary bird optimization algorithm for optimal MK-SVM based on imaging genetic data.

Position: Stop Acting Like Language Model Agents Are Normal Agents

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis

Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data

Graph Canonical Correlation Analysis

TFBS-Finder: Deep Learning-based Model with DNABERT and Convolutional Networks to Predict Transcription Factor Binding Sites

Deep Active Learning based Experimental Design to Uncover Synergistic Genetic Interactions for Host Targeted Therapeutics

MorphoITH: A Framework for Deconvolving Intra-Tumor Heterogeneity Using Tissue Morphology

Predicting Fitness-Related Traits Using Gene Expression and Machine Learning.

scGSDR: Harnessing Gene Semantics for Single-Cell Pharmacological Profiling

Deep learning-based classifier for carcinoma of unknown primary using methylation quantitative trait loci.

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