Exploring confounding factors in gene expression profiling including circular RNAs, truncated transcripts, and their impact on biological interpretation.
Exploring how bioprospecting evolved from commercial enterprise to conservation tool, its scientific complexities, and future potential for protecting biodiversity.
Discover how computational methods like LDAP-WMPS are revolutionizing lncRNA-disease association prediction and advancing medical research.
Explore how graph theory and combinatorics reveal hidden patterns in ecosystems, social networks, and biological systems through mathematical modeling.
BioAutoML is an automated machine learning system designed to break down technical barriers in bioinformatics, empowering researchers to build predictive models that accelerate scientific discovery.
Discover how miR-941 in CD14+ monocytes drives bone destruction in psoriatic arthritis and its potential as a diagnostic biomarker and treatment target.
Exploring the critical role of microRNAs in neuroblastoma pathogenesis, diagnosis, and treatment.
Explore how genome engineering technologies like CRISPR are transforming plant genetics to address global food security challenges through precise genetic modifications.
Exploring the transformative changes in biomedical education and research, balancing high expectations with practical limitations in 2025.
Explore how computational systems biology is creating digital twins to revolutionize medicine and biological understanding through advanced computational modeling.