Latest AI and machine learning research in genetics for healthcare professionals.
RNA 5-hydroxymethylcytosine (5 hmC) is an important RNA modification, which plays vital role in seve...
Computational protocols for cell type deconvolution from bulk RNA-seq data have been used to underst...
In this study, we propose a two-stage workflow used for the segmentation and scoring of lung disease...
Neurotransmitters, such as dopamine and serotonin, are responsible for mediating a wide array of neu...
Genomics is advancing towards data-driven science. Through the advent of high-throughput data genera...
When creating training data for machine-learned interatomic potentials (MLIPs), it is common to crea...
Identification of somatic mutations in tumor samples is commonly based on statistical methods in com...
A genetic disorder is a serious disease that affects a large number of individuals around the world....
Dance is a unique art with the human body movement as the main means, but dance is not limited to th...
The turn of contemporary visual culture has led to the expansion of the connotation and scope of vis...
Spiking neural P systems (abbreviated as SNP systems) are models of computation that mimic the behav...
Noncoding RNA(ncRNA) is closely related to drug resistance. Identifying the association between ncRN...
Security has become a critical issue for complex and expensive systems and day-to-day situations. In...
Automated malware detection is a prominent issue in the world of network security because of the ris...
Sparked by the development of genome sequencing technology, the quantity and quality of data handled...
A promoter is a sequence of DNA that initializes the process of transcription and regulates whenever...
CoViD19 is a novel disease which has created panic worldwide by infecting millions of people around ...
While experiments and DFT-computations have been the primary means for understanding the chemical an...
Organ volume measurements are a key metric for managing ADPKD (the most common inherited renal disea...
BACKGROUND: Using single-cell RNA sequencing (scRNA-seq) data to diagnose disease is an effective te...
Machine learning (ML) models have been shown to predict the presence of clinical factors from medica...