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Update 15.biological-interpretation.md #67

Closed norbertvolkmar closed 1 year ago

norbertvolkmar commented 1 year ago

Added a section on methods for orthogonal validation experiments. Since this is a vast topic, the section is not comprehensive and still lacks a bunch of references. Moreover, some of th content might go well with the 'Experiment Types' section of the review?

Please provide a description of your changes:

Please check the following about your suggested changed:

jessegmeyerlab commented 1 year ago

Thanks Norbert at first glance this looks awesome. Do you want me to review now or wait?

norbertvolkmar commented 1 year ago

Thank you, Jesse - it's still in pretty rough shape, so maybe I'll have one more pass adding more details and references. I'm also welcoming other's edits. I feel there's a lot more to say in this section, but it's tricky to not get carried away and keep it manageable :)

jessegmeyerlab commented 1 year ago

OK got it thanks.

Keep in mind the scope of this paper is so broad that we don't need to give a lot of depth about each part. The goal is to give an overview along with some references where a newcomer can follow up if they are interested.

Let me know when you think you are done and I will review it.

norbertvolkmar commented 1 year ago

No problem - I'm planning to work on it some more this coming weekend and it should very soon be ready for revision.

From: jessegmeyerlab @.***> Sent: 02 April 2023 17:55 To: jessegmeyerlab/proteomics-tutorial Cc: Volkmar Norbert; Author Subject: Re: [jessegmeyerlab/proteomics-tutorial] Update 15.biological-interpretation.md (PR #67)

OK got it thanks.

Keep in mind the scope of this paper is so broad that we don't need to give a lot of depth about each part`. The goal is to give an overview along with some references where a newcomer can follow up if they are interested.

Let me know when you think you are done and I will review it.

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jessegmeyerlab commented 1 year ago

Thanks @norbertvolkmar - please add your name to the metadata.yml when you get a chance in a new pull request