search

dynverse / dynbenchmark

Comparison of methods for trajectory inference on single-cell data 🥇
https://doi.org/10.1101/276907
Other
199 stars 41 forks source link

Will you keep updating on new methods? #29

Closed YubinXie closed 5 years ago

YubinXie commented 5 years ago

Thanks for the great work! There are more single-cell trajectory inference methods published recently and surely in the future. Will you keep adding the new methods into your evaluation? Thanks!

rcannood commented 5 years ago

We indeed intend on releasing updates of the benchmark results. We did spend quite a bit of effort writing documentation on how to evaluate your own method using our packages (dynverse.org), which would also allow us to add it to our pipeline more easily.

zouter commented 5 years ago

Thank you, great question!

It is in the very least our intention to wrap more methods. We spend quite some time to make "wrapping" a method as straightforward as possible: https://dynverse.org/developers/creating-ti-method/ So we're also hoping that method developers create wrappers for their own methods, so that they're directly integrated within the dyno pipeline.

We also have some plans to update the benchmark to make it more "collaborative". But more info on that in a couple of months (if time allows :wink: )

rcannood commented 5 years ago

I guess we were writing concurrent answers, but it's good to see @zouter and I are still on the same page ;)

@YubinXie Has this answered your question?

YubinXie commented 5 years ago

Thank you for your response. Yea, this answered my question.

Myself do not work on trajectory method, but I'd like to know the benchmarks in case I use them in the future... thanks again for your good works!