Latest AI and machine learning research in genetics for healthcare professionals.
SUMMARY: Federated learning enables collaboration in medicine, where data is scattered across multip...
Accurate inference of the time to the most recent common ancestor (TMRCA) between pairs of individua...
MOTIVATION: Cell-cell interactions (CCIs) play critical roles in many biological processes such as c...
With recent advances in computer vision, many applications based on artificial intelligence have bee...
OBJECTIVE: To study the correlation, consistency, and variations between two assays of DNA fragmenta...
Single-cell RNA-sequencing (scRNA-seq) allows for obtaining genomic and transcriptomic profiles of i...
In silico design of single guide RNA (sgRNA) plays a critical role in clustered regularly interspace...
The interactions between nucleic acids and proteins are important in diverse biological processes. T...
DNA methylation is a fundamental epigenetic modification involved in various biological processes an...
Annotation of cell-types is a critical step in the analysis of single-cell RNA sequencing (scRNA-seq...
Silencers are noncoding DNA sequence fragments located on the genome that suppress gene expression. ...
Enhancers are crucial cis-regulatory elements that control gene expression in a cell-type-specific m...
The latent features extracted from the multiple sequence alignments (MSAs) of homologous protein fam...
Video-based action recognition is becoming a vital tool in clinical research and neuroscientific stu...
SUMMARY: We present an interactive Deep Learning-based software tool for Unsupervised Clustering of ...
Advancing our understanding of complex diseases necessitates an interdisciplinary dialogue beyond ar...
PURPOSE: Most individuals with a hereditary cancer syndrome are unaware of their genetic status to u...
Hybrid exoskeleton, comprising an exoskeleton interfaced with functional electrical stimulation (FES...
BACKGROUND AND PURPOSE: is a multidrug-resistant yeast that rapidly spreads, making it the leading ...
The functional impact of single nucleotide polymorphisms (SNPs) on translation has yet to be conside...
One of the key points of machine learning-assisted directed evolution (MLDE) is the accurate learnin...