Zhongqi Liufu

This study develops a theory to identify Cancer Driving Nucleotides (CDNs) by analyzing mutation recurrence across large cancer datasets, finding that mutations recurring at least three times are likely CDNs.

This study identifies Cancer Driving Nucleotides (CDNs) across cancer types and patients, finding that most remain unidentified and highlights the need for larger sample sizes to improve detection.

The paper integrates the Wright-Fisher and Haldane models to resolve paradoxes in genetic drift by defining it through variance in transmission success rather than population size.

This study shows that reduced miRNA levels in Drosophila lead to developmental instability and reduced longevity, highlighting miRNAs' role in stabilizing gene regulatory networks against weak environmental perturbations.

This study shows how a newly evolved microRNA cluster in Drosophila rewires gene regulatory networks through sequence changes, while maintaining a conserved target pool.