Genetics

Genetics

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

11,255 articles

Subcategories: Genetics

Showing 8422-8442 of 11,255 articles

PhaGO: Protein function annotation for bacteriophages by integrating the genomic context

Bacteriophages are viruses that target bacteria, playing a crucial role in microbial ecology. Phag...

Aug 2024 http://arxiv.org/abs/2408.06402v2

Machine learning enables pan-cancer identification of mutational hotspots at persistent CTCF binding sites.

CCCTC-binding factor (CTCF) is an insulator protein that binds to a highly conserved DNA motif and f...

Aug 2024 38950902

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data

Single-cell RNA sequencing (scRNA-seq) data analysis is pivotal for understanding cellular heterog...

Aug 2024 http://arxiv.org/abs/2408.05258v1

High-Throughput Phenotyping of Clinical Text Using Large Language Models

High-throughput phenotyping automates the mapping of patient signs to standardized ontology concep...

Aug 2024 http://arxiv.org/abs/2408.01214v1

DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 on-target editing efficiency in specific cellular contexts.

MOTIVATION: CRISPR/Cas9 technology has been revolutionizing the field of gene editing. Guide RNAs (g...

Aug 2024 39073893

Bioinformatics and machine learning approaches reveal key genes and underlying molecular mechanisms of atherosclerosis: A review.

Atherosclerosis (AS) causes thickening and hardening of the arterial wall due to accumulation of ext...

Aug 2024 39093811

BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model.

MOTIVATION: Transcription factors are pivotal in the regulation of gene expression, and accurate ide...

Aug 2024 39107889

Advancing mRNA subcellular localization prediction with graph neural network and RNA structure.

MOTIVATION: The asymmetrical distribution of expressed mRNAs tightly controls the precise synthesis ...

Aug 2024 39133151

Peptide Sequencing Via Protein Language Models

We introduce a protein language model for determining the complete sequence of a peptide based on ...

Aug 2024 http://arxiv.org/abs/2408.00892v1

Refinement of genetic variants needs attention

Variant calling refinement is crucial for distinguishing true genetic variants from technical arti...

Aug 2024 http://arxiv.org/abs/2408.00659v1

Jailbreaking Text-to-Image Models with LLM-Based Agents

Recent advancements have significantly improved automated task-solving capabilities using autonomo...

Aug 2024 http://arxiv.org/abs/2408.00523v2

An Integral R-Banded Karyotype Analysis System of Bone Marrow Metaphases Based on Deep Learning.

CONTEXT.—: Conventional karyotype analysis, which provides comprehensive cytogenetic information, pl...

Aug 2024 37931220

Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count Data.

BACKGROUND: Hemoglobinopathies, the most common inherited blood disorder, are frequently underdiagno...

Aug 2024 38906831

Integrating single-cell transcriptomics and machine learning to predict breast cancer prognosis: A study based on natural killer cell-related genes.

Breast cancer (BC) is the most commonly diagnosed cancer in women globally. Natural killer (NK) cell...

Aug 2024 39098994

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PhaGO: Protein function annotation for bacteriophages by integrating the genomic context

Machine learning enables pan-cancer identification of mutational hotspots at persistent CTCF binding sites.

scASDC: Attention Enhanced Structural Deep Clustering for Single-cell RNA-seq Data

High-Throughput Phenotyping of Clinical Text Using Large Language Models

DeepCRISTL: deep transfer learning to predict CRISPR/Cas9 on-target editing efficiency in specific cellular contexts.

Bioinformatics and machine learning approaches reveal key genes and underlying molecular mechanisms of atherosclerosis: A review.

BertSNR: an interpretable deep learning framework for single-nucleotide resolution identification of transcription factor binding sites based on DNA language model.

Advancing mRNA subcellular localization prediction with graph neural network and RNA structure.

Peptide Sequencing Via Protein Language Models

Refinement of genetic variants needs attention

Jailbreaking Text-to-Image Models with LLM-Based Agents

An Integral R-Banded Karyotype Analysis System of Bone Marrow Metaphases Based on Deep Learning.

Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count Data.

Integrating single-cell transcriptomics and machine learning to predict breast cancer prognosis: A study based on natural killer cell-related genes.

Protein multi-level structure feature-integrated deep learning method for mutational effect prediction.

A novel sand cat swarm optimization algorithm-based SVM for diagnosis imaging genomics in Alzheimer's disease.

Machine learning and experimental validation of novel biomarkers for hypertrophic cardiomyopathy and cancers.

Predicting tumor mutation burden and VHL mutation from renal cancer pathology slides with self-supervised deep learning.

Exploiting Metabolic Defects in Glioma with Nanoparticle-Encapsulated NAMPT Inhibitors.

Self-Sovereign Identity for Consented and Content-Based Access to Medical Records using Blockchain

Are gene-by-environment interactions leveraged in multi-modality neural networks for breast cancer prediction?

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