Thank you, David. This is the best explanation of dendrogram that I got. I am so grateful to you for not overloading this video with math concepts. Selecting alphabets to represent data points, made it even easier to understand. God bless you sir.
This you so much for taking the time to leave this comment, and for your kind words. This type of feedback gives me huge motivation to make further videos.
Thank you, sensei. This is the most clear explanation I've got about hierarchical clustering. Please I'm interested in learning more about how to know the optimum clusters for a dataset. Thank you.
Thank you so much for the explanation! But I wanted to ask you something: what should I do when I have for instance a and b close, b and c close, but a and c distant? should I still put the three of them together? or should I do them separately, and in this case, which group should I agregate first?
Thank you for the wonderful video! I had a very vague understanding of this concept before watching it. However, after going through the video, everything became crystal clear, and I experienced a profound moment of enlightenment. Your exceptional teaching skills and ability to break down complex ideas into understandable components have truly been an eye-opener for me. I am deeply grateful for your efforts in creating such an informative and insightful resource.
Thanks a bunch for this simplified and clear explanation, it would be a pleasure if you could share with us how could we make dendrograms from Pulsed field electrophoresis Gel , thank you :)
Funny you should ask that ... the following paper is next on my reading list: "Pulsed-field gel electrophoresis (PFGE) analysis of Listeria monocytogenes isolates from different sources and geographical origins and representative of the twelve serovars" www.academia.edu/111312006/Pulsed_field_gel_electrophoresis_PFGE_analysis_of_Listeria_monocytogenes_isolates_from_different_sources_and_geographical_origins_and_representative_of_the_twelve_serovars
I've looked at this in a bit more detail, and to be honest, handling these type of data is beyond my area of expertise. I did find some general information that I found helpful: A guide to interpreting electrophoresis gels: bento.bio/resources/bento-lab-advice/interpreting-electrophoresis-gels-with-bento-lab/#:~:text=The%20smallest%20bands%20are%20at,is%20up%20the%20ladder%20scale. (pulsed-field addressed larger DNA molecules but I presume the principles on interpretation remain the same). Any analytical technique requires digital data. I found this: Data processing of pulsed-field gel electrophoresis images www.ncbi.nlm.nih.gov/pmc/articles/PMC6940661/ The data processing would seem to me the critical step, which will ultimately result in the generation of tabulated data that would be amenable to cluster analysis. The columns of this tabulation would correspond to metrics that describe the banding, which each sample being represented by a row. I would guess that this data processing is integrated into most laboratory systems that produce pulsed-field electrophoresis gel?
![Hierarchical Cluster Analysis [Simply explained]](http://i.ytimg.com/vi/8QCBl-xdeZI/mqdefault.jpg)
![Hierarchical Cluster Analysis [Simply explained]](/img/tr.png)
Thank you, David. This is the best explanation of dendrogram that I got. I am so grateful to you for not overloading this video with math concepts. Selecting alphabets to represent data points, made it even easier to understand. God bless you sir.
This you so much for taking the time to leave this comment, and for your kind words. This type of feedback gives me huge motivation to make further videos.
Thank you, sensei. This is the most clear explanation I've got about hierarchical clustering. Please I'm interested in learning more about how to know the optimum clusters for a dataset. Thank you.
Thanks for your positive feedback. My next video will discuss the optimal number of clusters
Thank you for helping me understand dendrograms!
Happy to hear the video helped :)
Thank you so much for the explanation! But I wanted to ask you something: what should I do when I have for instance a and b close, b and c close, but a and c distant? should I still put the three of them together? or should I do them separately, and in this case, which group should I agregate first?
Great video!
Thank you for the wonderful video! I had a very vague understanding of this concept before watching it. However, after going through the video, everything became crystal clear, and I experienced a profound moment of enlightenment. Your exceptional teaching skills and ability to break down complex ideas into understandable components have truly been an eye-opener for me. I am deeply grateful for your efforts in creating such an informative and insightful resource.
Thank you so much!
Thank you so much this is really easy to understand
Glad it was helpful!
Thank you! This helped a lot
Thanks for the great video! It would be very appreciated if you will discuss how to select the optimum number of clusters in future videos. 🙂
I appreciate your feedback. I'll make a note to make a video about identifying the optimal number of clusters - thanks for the suggestion.
Thank you very much great video.
I'm glad you liked it. I appreciate the feedback. Thanks!
Thanks a bunch for this simplified and clear explanation, it would be a pleasure if you could share with us how could we make dendrograms from Pulsed field electrophoresis Gel , thank you :)
Funny you should ask that ... the following paper is next on my reading list:
"Pulsed-field gel electrophoresis (PFGE) analysis of Listeria monocytogenes isolates from different sources and geographical origins and representative of the twelve serovars"
www.academia.edu/111312006/Pulsed_field_gel_electrophoresis_PFGE_analysis_of_Listeria_monocytogenes_isolates_from_different_sources_and_geographical_origins_and_representative_of_the_twelve_serovars
I've looked at this in a bit more detail, and to be honest, handling these type of data is beyond my area of expertise. I did find some general information that I found helpful:
A guide to interpreting electrophoresis gels:
bento.bio/resources/bento-lab-advice/interpreting-electrophoresis-gels-with-bento-lab/#:~:text=The%20smallest%20bands%20are%20at,is%20up%20the%20ladder%20scale.
(pulsed-field addressed larger DNA molecules but I presume the principles on interpretation remain the same).
Any analytical technique requires digital data. I found this:
Data processing of pulsed-field gel electrophoresis images
www.ncbi.nlm.nih.gov/pmc/articles/PMC6940661/
The data processing would seem to me the critical step, which will ultimately result in the generation of tabulated data that would be amenable to cluster analysis. The columns of this tabulation would correspond to metrics that describe the banding, which each sample being represented by a row.
I would guess that this data processing is integrated into most laboratory systems that produce pulsed-field electrophoresis gel?
Thanks
You're welcome :)