Latest AI and machine learning research in genetics for healthcare professionals.
Cell-free DNA has been widely used in non-invasive prenatal diagnostics (NIPD) nowadays. Compared to these incomplete and multi-source DNA fragments, fetal nucleated red blood cells (fNRBCs), once as an aided biomarker to monitor potential fetal pathological conditions, have re-attracted research interest in NIPD because of their definite fetal source and the total genetic information contained in...
The research on resistance genes (R-gene) plays a vital role in bioinformatics as it has the capability of coping with adverse changes in the external environment, which can form the corresponding resistance protein by transcription and translation. It is meaningful to identify and predict R-gene of Larimichthys crocea (L.Crocea). It is friendly for breeding and the marine environment as well. Lar...
Toxoplasma gondii is a parasite considered one of the major causes of reproductive problems in sheep. Furthermore, the presence of the agent in ram se...
Systematic identification and characterization of genetic perturbations have proven useful to decipher gene function and cellular pathways. However, t...
In this era of genome-wide association studies (GWAS), the quest for understanding the genetic architecture of complex diseases is rapidly increasing ...
AIM: Galactosemia is a carbohydrate metabolism disorder with autosomal recessive inheritance. The most frequent enzyme deficiency is galactose-1-phosp...
OBJECTIVE: The Phase III, randomized, open-label IPASS study (NCT00322452) of first-line epidermal growth factor receptor tyrosine kinase inhibitor (E...
A proposed real coded genetic algorithm based radial basis function neural network classifier is employed to perform effective classification of healt...
Early and accurate diagnosis of stroke improves the probability of positive outcome. The objective of this study was to identify a pattern of gene exp...
The application of machine learning methods for the identification of candidate genes responsible for phenotypes of interest, such as cancer, is a maj...
Protein-RNA interactions play important roles in the biological systems. Searching for regular patterns in the Protein-RNA binding interfaces is impor...
The deconvolution of DNA mixtures remains one of the most critical challenges in the field of forensic DNA analysis. In addition, of all the data feat...
. Precisely predicting cancer is crucial for cancer treatment. Gene expression profiles make it possible to analyze patterns between genes and cancers...
- is a popular traditional Thai fermented shrimp product. It is rich in glutamic acid, which is the major substrate for the biosynthesis of gamma-amin...
The present study was performed to investigate the effect of quercetin on nasopharyngeal carcinoma (NPC) angiogenesis. The real-time RT-PCR and enzyme...
Mixed cryoglobulinemic syndrome, which is a systemic vasculitis characterized by the immune complex deposition in small- and medium-sized arteries and...
MicroRNAs are a class of small non-coding regulatory RNA molecules that modulate the expression of several genes at post-transcriptional level and pla...
There are some ∼1,100 known antimicrobial peptides (AMPs), which permeabilize microbial membranes but have diverse sequences. Here, we develop a suppo...
BACKGROUND: Next-generation sequencing (NGS) allows unbiased, in-depth interrogation of cancer genomes. Many somatic variant callers have been develop...
Respiratory syncytial virus (RSV) causes infections that range from common cold to severe lower respiratory tract infection requiring high-level medic...