Understanding cluster heat maps

[@ChatSceptique]

Best video I've seen on the subject, well done!

[@nuriar4314]

Thank you so much, this is really helpful! The only problem is I cannot figure out how to do this analysis in R. Please help!

[@tilestats]

Ask ChatGPT to generate the code and explain what you want to do. For the new version, you can even plug in your data.

[@nuriar4314]

@@tilestats ohhh great tip!!! Thanks!

[@little_pongfi282]

Thank you very much for the great lecture!

[@newsupdates3622]

Always enjoy watching your videos. Thank you! Waiting for more! 👍 💐

[@tilestats]

Thank you!

[@Hoxgene]

Wonderful explanation. Cheers!

[@nanwu1786]

Excellent video. Things are explained really clearly!

[@tilestats]

Thank you!

[@Khatrishalu20]

Nicely narrated....

[@ABDULHAILBINAHMADTARMIZZIHAIL]

thank you for the crystal clear explanation

[@sxbear9988]

Thanks for your video, greatly helpful!

[@tilestats]

Thank you!

[@brazilfootball]

Love these videos! Is there a way to decide which distance and clustering method works best (i.e. does it depend on the type of data)?

[@tilestats]

The choice of distance metric is mainly decided on how you define similarity, which I discuss in this video: kzbin.info/www/bejne/q4jJkJKBfrCthrM To select linkage function I have previously used some sort of bootstrapping, where you can select the linkage function that generates the most robust clusters, see for example this paper: pubmed.ncbi.nlm.nih.gov/29079427/

[@geofroykinhoegbe2861]

Very useful