Latest AI and machine learning research in genetics for healthcare professionals.
To address the susceptibility of conventional vector control systems for permanent magnet synchronou...
Small molecule-targeted RNA is an emerging technology that plays a pivotal role in drug discovery an...
The unprecedented sequencing efforts during the COVID-19 pandemic paved the way for genomic surveill...
The diagnostic landscape of brain tumors integrates comprehensive molecular markers alongside tradit...
In mammalian oocytes, large-scale chromatin organization regulates transcription, nuclear architectu...
Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (D...
How complex phenotypes emerge from intricate gene expression patterns is a fundamental question in b...
N4-acetylcytidine (ac4C) is a crucial post-transcriptional modification in human mRNA, involving the...
UNLABELLED: Bacterial typing at whole-genome scales is now feasible owing to decreasing costs in hig...
The constantly emerging evidence indicates a close association between coronary artery disease (CAD)...
Programmed cell death (PCD) is a significant factor in the progression of hepatocellular carcinoma (...
BACKGROUND: Preoperative and noninvasive detection of isocitrate dehydrogenase (IDH) and telomerase ...
Timely and accurate detection of trace mycotoxins in agricultural products and food is significant f...
Crohn's disease (CD) is a chronic inflammatory bowel disease with an unknown etiology. Ubiquitinatio...
Drug resistance often stems from drug-tolerant persister (DTP) cells in cancer. These cells arise fr...
Three-dimensional genome folding plays roles in gene regulation and disease. In this review, we comp...
Cotton is an important crop for fiber production, but the genetic basis underlying key agronomic tra...
To integrate machine learning and multiomic data on lactylation-related genes (LRGs) for molecular t...
INTRODUCTION: Type 2 diabetes (T2D) is a complex metabolic disorder with significant global health i...
OBJECTIVE: This study aimed to assess whether circulating tumor cells (CTCs) from colorectal cancer ...
KanCell is a deep learning model based on Kolmogorov-Arnold networks (KAN) designed to enhance cellu...