Hi everyone,

I’m a high school student developing a computational research project in pancreatic ductal adenocarcinoma (PDAC), and I’m looking for someone currently working in bioinformatics, computational biology, or single-cell analysis who would be willing to briefly review my methodology.

The study uses publicly available PDAC single-cell RNA-seq data and involves RNA velocity/scVelo, CellRank-based fate inference, pseudotime, and CytoTRACE. I have developed a composite index intended to quantify variation in inferred terminal-state probability distributions at the individual malignant-cell level.

I’ve already developed the computational workflow, research questions, hypotheses, and planned statistical analyses. I’m mainly looking for a technical review of the methodology: whether the workflow and statistical tests are appropriate, whether the assumptions are sound, and whether there are important confounders or methodological issues I may have overlooked.

I have a qualified scientist familiar with the broader research area, but they are currently quite busy, so I’m hoping to get an additional perspective from someone who works directly with these types of computational analyses.

I’m happy to provide the full methodology privately rather than posting the complete research framework publicly. Any level of technical feedback would be greatly appreciated; you may reach out to me through email: matteogalgo.ph@gmail.com.