Genetics

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

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Genotype imputation methods for whole and complex genomic regions utilizing deep learning technology.

The imputation of unmeasured genotypes is essential in human genetic research, particularly in enhan...

Biologically informed deep learning for explainable epigenetic clocks.

Ageing is often characterised by progressive accumulation of damage, and it is one of the most impor...

Cellograph: a semi-supervised approach to analyzing multi-condition single-cell RNA-sequencing data using graph neural networks.

With the growing number of single-cell datasets collected under more complex experimental conditions...

Review of applications of artificial intelligence (AI) methods in crop research.

Sophisticated and modern crop improvement techniques can bridge the gap for feeding the ever-increas...

Plant microphenotype: from innovative imaging to computational analysis.

The microphenotype plays a key role in bridging the gap between the genotype and the complex macro p...

DNA Robots for CRISPR/Cas12a Activity Management and Universal Platforms for Biosensing.

The CRISPR/Cas12a system is a revolutionary genome editing technique that is widely employed in bios...

ProkBERT family: genomic language models for microbiome applications.

BACKGROUND: In the evolving landscape of microbiology and microbiome analysis, the integration of ma...

Morphology-based molecular classification of spinal cord ependymomas using deep neural networks.

Based on DNA-methylation, ependymomas growing in the spinal cord comprise two major molecular types ...

Machine learning and feature extraction for rapid antimicrobial resistance prediction of from whole-genome sequencing data.

BACKGROUND: Whole-genome sequencing (WGS) has contributed significantly to advancements in machine l...

Leveraging machine learning for taxonomic classification of emerging astroviruses.

Astroviruses are a family of genetically diverse viruses associated with disease in humans and birds...

Classification of clinically actionable genetic mutations in cancer patients.

Personalized medicine in cancer treatment aims to treat each individual's cancer tumor uniquely base...

Multi-model genome-wide association studies for appearance quality in rice.

Improving the quality of the appearance of rice is critical to meet market acceptance. Mining putati...

Classification of MLH1 Missense VUS Using Protein Structure-Based Deep Learning-Ramachandran Plot-Molecular Dynamics Simulations Method.

Pathogenic variation in DNA mismatch repair (MMR) gene is associated with Lynch syndrome (LS), an a...

Using Vision Transformer for high robustness and generalization in predicting EGFR mutation status in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma is a common cause of cancer-related deaths worldwide, and accurate E...

Deep learning-radiomics integrated noninvasive detection of epidermal growth factor receptor mutations in non-small cell lung cancer patients.

This study focused on a novel strategy that combines deep learning and radiomics to predict epiderma...

Machine learning in onco-pharmacogenomics: a path to precision medicine with many challenges.

Over the past two decades, Next-Generation Sequencing (NGS) has revolutionized the approach to cance...

Historical perspective and future directions: computational science in immuno-oncology.

Immuno-oncology holds promise for transforming patient care having achieved durable clinical respons...

Development and application of an indirect ELISA and nested PCR for the epidemiological analysis of among pigs in China.

INTRODUCTION: () is an important opportunistic and zoonotic pathogen which is associated with many ...

Establishment of a pathomic-based machine learning model to predict CD276 (B7-H3) expression in colon cancer.

CD276 is a promising prognostic indicator and an attractive therapeutic target in various malignanci...

Advancing genome editing with artificial intelligence: opportunities, challenges, and future directions.

Clustered regularly interspaced short palindromic repeat (CRISPR)-based genome editing (GED) technol...

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