Latest AI and machine learning research in genetics for healthcare professionals.
Thanks to the tremendous advancement of deep sequencing and large-scale profiling, epitranscriptomic...
Design of nucleic acid-based viral diagnostics typically follows heuristic rules and, to contend wit...
In this study we explore how different levels of emotional intensity (Arousal) and pleasantness (Val...
Switching from a three-drug regimen (3DR: boosted darunavir [bDRV] and two nucleoside reverse trans...
Even though there were many tool developments of fusion gene prediction from NGS data, too many fals...
BACKGROUND: Identifying breast cancer patients with DNA repair pathway-related germline pathogenic v...
The tumor microenvironment (TME) profoundly influences tumor progression and affects immunotherapy r...
To better understand the molecular basis of respiratory diseases of viral origin, high-throughput ge...
The rapid outbreak of coronavirus threatens humans' life all around the world. Due to the insufficie...
Precise identification of target sites of RNA-binding proteins (RBP) is important to understand thei...
The task of designing an Artificial Neural Network (ANN) can be thought of as an optimization proble...
Acute lymphoblastic leukemia (ALL) is the most common childhood cancer worldwide, and it is characte...
Recently, two-dimensional (2D)-borophene has emerged as a remarkable translational nanomaterial subs...
The present study aimed to investigate the effects of irbesartan and amlodipine besylate tablets on...
Sepsis is a life-threatening condition in which the immune response is directed towards the host tis...
To date, there have been 180 million confirmed cases of COVID-19, with more than 3.8 million deaths,...
Advancing diagnostic testing capabilities such as clinical next generation sequencing methods offer ...
The growing use of next-generation sequencing technologies on genetic diagnosis has produced an expo...
Identification of genomic signals as indicators for functional genomic elements is one of the areas ...
Enzyme engineering is an important biotechnological process capable of generating tailored biocataly...
In the last four years, advances in Deep Learning technology have enabled the inference of selected ...