Latest AI and machine learning research in genetics for healthcare professionals.
Using a machine learning methods, we aim to find biological effect biomarkers of prenatal arsenic ex...
Epithelial ovarian cancer (EOC) remains a significant cause of mortality among gynecologic cancers, ...
Tumor mutation burden (TMB) is a potential biomarker for evaluating the prognosis and response to im...
This paper discusses the challenges of producing CAR-T cells for cancer treatment and the potential ...
Personalized medicine is a novel frontier in health care that is based on each person's unique genet...
Understanding gene expression processes necessitates the accurate classification and identification ...
BACKGROUND: The ability to accurately predict essential genes intolerant to loss-of-function (LOF) m...
Severe asthma is a chronic inflammatory airway disease with great therapeutic challenges. Understand...
Mechanical characterization of dynamic DNA nanodevices is essential to facilitate their use in appli...
Environmental DNA (eDNA) metabarcoding provides an efficient approach for documenting biodiversity p...
Coronary heart disease (CHD) is the world's leading cause of death. Up to 90% of all CHD deaths are ...
Deep learning in bioinformatics is often limited to problems where extensive amounts of labeled data...
Capsular contracture is a prevalent and severe complication that affects the postoperative outcomes ...
Every year biotechnology labs generate a combined total of ∼5.5 million tons of plastic waste. As th...
The COVID-19 pandemic erupted at the beginning of 2020 and proved fatal, causing many casualties wor...
Presently, the field of analyzing differentially expressed genes (DEGs) of RNA-seq data is still in ...
The goal of this study was to evaluate matrix-assisted laser desorption ionization-iime of flight ma...
CRISPR/Cas9 system is a powerful tool for genome editing. Numerous studies have shown that sgRNAs ca...
On the path to full understanding of the structure-function relationship or even design of RNA, stru...
Identification of chromatin interactions is crucial for advancing our knowledge of gene regulation. ...
Accurate prediction of nucleic binding residues is essential for the understanding of transcription ...