Why Your Single-Cell Data Is not telling You the Truth.
Yesterday I ran three normalisation methods head-to-head on the Tung et al. 2017 iPSC scRNA-seq dataset (3 individuals, 864 cells).
The question is: Which method are YOU using?
medium.com/@mandhri.abe...
The right tool for the right job is not just good practice, rather it is essential for scalable data operations.
#DataArchitecture #ResearchData #Analytics #DatabaseDesign #ClinicalResearch #REDCap #HealthcareInformatics #ClinicalData
The approach that actually work would be to implement a hybrid approach:
1/ Capture data in OLTP systems (like RedCap)
2/ Transform and load into OLAP environments
3/Analyse using purpose-built analytical tools (eg R, Python)
This is not a REDCap problem. It is an architecture problem. Forcing transaction-focused databases (OLTP) to perform analytical tasks (OLAP).
If your reports take more than five minutes, and your project is mid to large-scale, you are probably hitting the same OLTP vs OLAP wall.
This one mistake costs research teams 40 hours per month!
The team was spending 40+ hours monthly waiting for "simple" reports to run. The problem was using REDCap for complex analytics.
i like looking at clouds and see different patterns. Loving the new vibe....
Bypassing Boredom: How I Automated R Markdown Rendering to Outsmart Error Surprises!
#Bioinformatics #Rmarkdown #Automatingpipelines #datascience #genomics
medium.com/@mandhri.abe...
I love automating workflows—it's not just efficient and less error-prone; it feels like playing a game.
So, essentially, I'm gaming even when I'm working!
medium.com/@mandhri.abe...