Data Science – Medicine Application Project 3, Part 6

From Raw Measurements to Final Result: A Reproducible qPCR Checklist From Raw Measurements to Final Result: A Reproducible qPCR Checklist A final result should be traceable backward. Starting from an effect estimate in a table, we should be able to identify the normalized values behind it, the reference measurements behind those values, the replicate decisions... Continue Reading →

Data Science – Medicine Application Project 3, Part 5

Do QC Exclusions Drive the Result? A qPCR Sensitivity Analysis # Do QC Exclusions Drive the Result? A qPCR Sensitivity Analysis Quality control protects an analysis from unreliable measurements. It can also change the sample size and, potentially, the conclusion. That creates a reasonable question: **Would we obtain the same result under another plausible replicate... Continue Reading →

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