Latest AI and machine learning research in genetics for healthcare professionals.
Histone Deacetylases (HDACs) play a significant role in the regulation of gene expression by modifyi...
Hematopoietic stem cells (HSCs) are an essential source and reservoir for normal hematopoiesis, and ...
Prostate cancer is the most common form of cancer in the male. Epidemiological studies have associa...
Exosomes are endosome-derived vesicles enriched in body fluids such as urine, blood, and saliva. So ...
Prediction of antibiotic resistance phenotypes from whole genome sequencing data by machine learning...
OBJECTIVE: Microcephalic primordial dwarfism (MPD) is a group of clinically and genetically heteroge...
DNA-binding proteins play an important role in cell metabolism. In biological laboratories, the dete...
The number of contributors (NOC) to (complex) autosomal STR profiles cannot be determined with absol...
BACKGROUND: Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative ...
One of the main problems of the decellularization technique is the subjectivity of the final evaluat...
The promoter is a regulatory DNA region and important for gene transcriptional regulation. It is loc...
Influenza A viruses are one of the most significant viral groups globally with substantial impacts o...
Controlling the expression of genes is one of the key challenges of synthetic biology. Until recentl...
The determination of daily concentrations of atmospheric pollen is important in the medical and biol...
For high accuracy classification of DNA sequences through Convolutional Neural Networks (CNNs), it i...
Accurate annotation of plant genomes remains complex due to the presence of many pseudogenes arising...
The decoding of transcription factor (TF) binding signals in genomic DNA is a fundamental problem. H...
To fully utilize the power of single-cell RNA sequencing (scRNA-seq) technologies for identifying ce...
Bacterial plate count for general assessment of water quality requires lengthy bacterial culturing. ...
DNA mixture interpretation remains one of the major challenges in forensic DNA analysis. DNA mixture...
OBJECTIVE: We study the performance of machine learning (ML) methods, including neural networks (NNs...