“横看成岭侧成峰”: A Ridge from One Angle, A Peak from Another

Default pipelines often overlook the essence of your data, confined by predefined parameters and loss functions. But data, like a mountain, reveals different truths from different vantage points.

By thoughtfully shaping the parameters and processes that define our view, anchored in mathematics yet inspired and evaluated by biology, we uncover meaning.

With engineering for clarity and reproducibility, bioinformatics transcends analysis and becomes an art of discovery.

This page gathers the projects I love to share.

Effective RNA Velocity Analysis: Math, Implementation, Benchmark, and Discovery of Meaningful Tumor Trajectories from Real-World Single-Cell Genomics
Single-Cell Genomic and Clinical Data Analyses Pinpointed Targets and Drove the Preclinically Validated Novel Strategy To Prevent/Treat kidney cancer.
Quantify Un-/Under- Annotated Features (hERVs, Transgenes) from (Single-Cell) Transcriptomics: Math Algorithms, Implementation and Turnkey Workflows
Integrated Analysis of Spatial Genomics and scRNAseq Identifies Occult Cervical Cancer Subtypes: Why Current Billion Dollar Screening Programs Fail the Most At-Risk Patients
Improve UMI Normalization that Determines the Downstream Interpretation of Single-Cell Transcriptomes
Infection-Driven Uterine Tumorigenesis: Integrated Spatial and Single-Cell Profiling Validated in Patients and Preclinical Models