Latest AI and machine learning research in genetics for healthcare professionals.
Wheat plays a crucial role in ensuring food security. However, its complex genetic structure and tra...
Domain generalization (DG) for object detection aims to enhance detectors' performance in unseen s...
Motivation: PCR is more economical and quicker than Next Generation Sequencing for detecting targe...
Meta-learning has been proposed as a promising machine learning topic in recent years, with import...
Classical genomic prediction approaches rely on statistical associations between traits and markers ...
Integrating genomic, hyperspectral imaging (HSI), and environmental data enhances wheat yield predic...
Machine learning (ML) has garnered significant attention for its potential to enhance the accuracy o...
Cis-regulatory elements (cREs) play a crucial role in regulating gene expression and determining cel...
In the area of cancer predisposition, certain situations may lead to the discussion of prophylactic ...
Single-cell transcriptome sequencing (scRNA-seq) is widely used in the fields of animal and plant de...
Using machine learning approaches, we developed and validated a novel prognostic model for oesophage...
Gene regulatory networks (GRNs) provide a global representation of how genetic/genomic information i...
Spatial transcriptomics technology has revolutionized our understanding of cellular systems by captu...
Scientific discovery relies on scientists generating novel hypotheses that undergo rigorous experi...
Masked language modelling (MLM) as a pretraining objective has been widely adopted in genomic sequ...
Self-supervised learning (SSL) vision encoders learn high-quality image representations and thus h...
This paper comprehensively evaluates several recently proposed optimizers for 4-bit training, reve...
Using methylation characteristics of human genes to construct machine learning predictive models fo...
Preclinical perturbation screens, where the effects of genetic, chemical, or environmental perturb...
Object extraction and segmentation from remote sensing (RS) images is a critical yet challenging t...
Social reasoning abilities are crucial for AI systems to effectively interpret and respond to mult...