Bioinformatics Analysis
In this project, I published 2 articles as the first author and co-authored 4 articles.
Led a bioinformatics analysis of GEO datasets to clarify the relationship between a gene named KIF2C expression and clinicopathological characteristics of bladder cancer, and to evaluate the possibility of using KIF2C as a prognosis marker in bladder cancer.
Participated as a principal analyst in studies utilizing gene co-expression networks for the analysis of bladder cancer biomarkers.
Yujia Feng
Ph.D. Candidate
My current research interests include bioinformatics analysis, clinical cohort studies, clinical randomized controlled trials （RCTs), meta-analyses, latent class analyses ,and AI model base on medical imaging related to cancer.
