Latest AI and machine learning research in genetics for healthcare professionals.
BACKGROUND: Genomic prediction for novel traits, which can be costly and labor-intensive to measure, is often hampered by low accuracy due to the limited size of the reference population. As an option to improve prediction accuracy, we introduced a semi-supervised learning strategy known as the self-training model, and applied this method to genomic prediction of residual feed intake (RFI) in dair...
Green tea consumption is associated with chemoprevention of many cancer types. Fresh tea leaves are rich in polyphenolic catechins, which can constitute up to 30% of the dry leaf weight. While the polyphenols of green tea have been well investigated, it is still largely unknown, whether or not non-phenolic constituents also reveal chemopreventive and anti-metastatic effects. In this study, we inve...
T cell anergy is one of the important mechanisms for immune tolerance. The results of many studies investigating the mechanism for T cell anergy induc...
Successful treatment of infections caused by multidrug-resistant (MDR) is thwarted by the emergence of antibiotic resistance and biofilm formation ...
The purpose of the study was to explore the application of artificial neural network model in the auxiliary diagnosis of lung cancer and compare the e...
Synthetic amorphous silica nanoparticles (SAS NPs) have been used in various industries, such as plastics, glass, paints, electronics, synthetic rubbe...
BACKGROUND: Alzheimer's disease (AD) is a complex progressive neurodegenerative disorder commonly characterized by short term memory loss. Presently n...
Noncoding RNAs (ncRNAs) are implicated in various biological processes. Recent findings have demonstrated that the function of ncRNAs correlates with ...
Desktop Genetics is a bioinformatics company building a gene-editing platform for personalized medicine. The company works with scientists around the ...
To study the fumigation mechanisms of Allyl isothiocyanate (AITC) a promising biorational alternative to present fumigants (phosphine and methyl bromi...
Protein-DNA interactions are ubiquitous in a wide variety of biological processes. Correctly locating DNA-binding residues solely from protein sequenc...
Non-small cell lung cancer (NSCLC) is the most dominating and lethal type of lung cancer triggering more than 1.3 million deaths per year. The most ef...
Characterizing genes with semantic information is an important process regarding the description of gene products. In spite that complete genomes of m...
BACKGROUND: Low plasma proprotein convertase subtilisin kexin type-9 (PCSK9) concentration has been associated with loss of function (LOF) PCSK9 mutat...
OBJECTIVE: Evolutionary algorithms could overcome the computational limitations for the statistical evaluation of large datasets for high-order single...
BACKGROUND: Gene-gene interaction (GGI) is one of the most popular approaches for finding the missing heritability of common complex traits in genetic...
Most theories of learning would predict a gradual acquisition and refinement of skills as learning progresses, and while some highlight exponential gr...
Transcriptome analysis is essential to understand the mechanisms regulating key biological processes and functions. The first step usually consists of...
BACKGROUND: MicroRNAs (miRNAs) are small non-coding RNA sequences with regulatory functions to post-transcriptional level for several biological proce...
An accurate classification of neuromuscular disorders is important in providing proper treatment facilities to the patients. Recently, the microarray ...