Week 9: Finishing Touches and Checks
Rohan V -
Hi all, it’s Rohan!
Last week, I delved into some of the choices I was making regarding how to best represent my data and communicate results to a wide audience.
Now, I’ve completed the first draft of my paper; and I like how the results look so far. I mentioned last week that I was leaning towards focusing on three representative molecules of different length in my paper; this would show how the new change point detection algorithm is able to function well even across molecules with different characteristics. I’ve ended up following up on this goal, with a slight pivot, which I’ll explain below:
Although it’s useful to visualize how my change point detection (CPD) algorithm performs on a whole dataset, what’s arguably more important is how the algorithm works on a single graph of conductance against inter-electrode distance. Consequently, I decided to split my results section into two parts: one describing more ‘micro’ results, and the other ‘macro’ part describing how the algorithm works across a whole dataset. These two parts fit together quite nicely in that I’m able to delve into the specifics while avoiding redundancy (rather than explaining how my CPD algorithm works repeatedly, I can instead explain it one time, give a broad overview of its functionality, then show how it works on an entire dataset).
As a preview of what I’ll be discussing in my paper/presentation, one example of an application of my CPD algorithm to experimental output data is shown below:
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