Latest AI and machine learning research in genetics for healthcare professionals.
Three successive multiple generations of rats were exposed to different toxicants and then bred to t...
The bacterial microbiota is well-recognized for its role in colonization and infection, while fung...
Nanoscale industrial robots have potential as manufacturing platforms and are capable of automatical...
Estrogen receptor (ER) positivity by immunohistochemistry has long been a main selection criterium f...
Liquid biopsies, in particular the profiling of circulating tumor DNA (ctDNA), have long held promis...
Carbohydrate sequencing is a formidable task identified as a strategic goal in modern biochemistry. ...
New alternatives for effluent decontamination, such as electrochemical oxidation, are being develope...
BACKGROUND: Alzheimer's disease (AD) is complicated by multiple environmental and polygenetic factor...
DNA molecules commonly exhibit wide interactions between the nucleobases. Modeling the interactions ...
As a prevalent RNA modification, 5-methyluridine (mU) plays a critical role in diverse biological pr...
Enhancing protein thermal stability is important for biomedical and industrial applications as well ...
Finalyse, a T4 bacteriophage, is a pre-harvest intervention that utilizes a combination of bacteriop...
We present the Fast Greedy Equivalence Search (FGES)-Merge, a new method for learning the structure ...
In India, drug-resistant tuberculosis (DR-TB) is a major public health issue and a significant chall...
Neuroinflammation induced by engulfment of synapses by phagocytic microglia plays a crucial role in ...
Time-series single-cell RNA sequencing (scRNA-seq) datasets provide unprecedented opportunities to l...
Accurate prediction of binding free energy changes upon mutations is vital for optimizing drugs, des...
Genomic deep learning models can predict genome-wide epigenetic features and gene expression levels ...
Deep learning methods have recently become the state of the art in a variety of regulatory genomic t...
Recently, electroencephalogram (EEG) emotion recognition has gradually attracted a lot of attention....
Materials informatics (MI) has immense potential to accelerate the pace of innovation and new produc...