Latest AI and machine learning research in genetics for healthcare professionals.
Personalized oncology treatment recommendation is a critical clinical task that requires in-tegratin...
Circulating tumor DNA (ctDNA) is a promising biomarker for cancer detection, but low tumor burden ma...
Deciphering the relationships between cis-regulatory elements (CREs) and target gene expression has ...
Motivation: Models deployed for genomic prediction of diseases perform unevenly across populations, ...
Background: Non-invasive diagnosis, reliable recurrence surveillance remain critical unmet needs in ...
Machine learning (ML)- and artificial intelligence (AI)-based aging clocks are increasingly used to ...
The availability of multiple commercial short-read sequencing platforms necessitates systematic cros...
Cancer is a disease of the genome, in which somatic mutations and copy-number alterations determine ...
Background Bacterial fitness is shaped by interactions between genome variation and environmental co...
RNA binding proteins (RBPs) regulate the life cycle of an mRNA, often through RBP-RNA interactions. ...
Gene fusions are clinically relevant genomic alterations and key cancer biomarkers. Their computatio...
The pioneer factor hypothesis posits that specialized transcription factors access nucleosomal DNA t...
We present ModCRE-NN, a machine-learning framework and server for predicting transcription-factor (T...
Oncologists are increasingly relying on multiple modalities to model the complexity of diseases. Wit...
Somatic variant calling, the identification of mutations in non-germline cells acquired over an indi...
Background: Bioinformatic tools often require the prediction of protein-coding genes to make inferen...
Noncoding regulatory variants contribute to colorectal cancer (CRC) susceptibility, yet their functi...
Precision medicine aims to advance our ability from a "one-size-fits-all" approach to personalized a...
Objective: To systematically evaluate pathway-informed polygenic risk score (PRS) strategies and det...
Background: Polygenic risk scores (PRS) for coronary artery disease (CAD) are associated with cardio...
Understanding and modeling how a single human genome concurrently encodes gene regulatory programs f...