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Miranda Lynch
02:48:57
In the slide showing control cell versus sucrose cell, the distribution of the lysosomes appear 'clumped' on one side of the nucleus for the sucrose, in the perinuclear zone. Can you comment on what is causing that 'polarity' of aggregation and how it relates to the state switching and activity patterns you describe?
Veronica Ciocanel, Ph.D.
02:49:07
Thank you for joining the second part of our session! We encourage you to type questions into the chat or to raise your hand to ask your question live.
Daniel Cruz
02:51:30
Thanks for the talk Keisha! It is also good to see you (virtually)
Miranda Lynch
02:51:38
Yes, that’s the right one. Very nice talk
Miranda Lynch
02:52:20
Thank you, @Keisha!
Veronica Ciocanel, Ph.D.
02:53:28
Great talk Keisha! In cases where there are two active states in a row, are these potentially movement in different directions?
Veronica Ciocanel, Ph.D.
02:57:28
Chris' cartoons are always beautiful!
Keisha Cook
02:59:11
Yes, when there is a change from Active to Active there are changes in direction. We have an analysis for this as well. We should be able to present this in about a month!
Keisha Cook
03:14:35
Yes! We can work together on those two topics!
Linus Schumacher
03:33:25
Why do you need the regularisation parameter to compare the integrated parameter likelihoods? Isn’t Bayesian model comparison meant to have “Occam’s Razor built in”?
James Benson
03:35:27
Can you explain how this phenomena/model is similar or different from dielectrophoresis?
Linus Schumacher
03:37:41
I meant that by integrating over a higher dimensional parameter space (assuming same number of samples) should already penalize
James Benson
03:38:36
sure.
Linus Schumacher
03:38:46
I think there’s a reference how e.g. BIC can be derived from the integrated likelihood/Bayes Factors, I can dig it out if it’s of interest
Ruth Baker
03:39:12
Sounds good - thanks Linus!
Tom Prescott
03:39:15
Ah! That would be of interest!
Tom Prescott
03:39:20
Thank you
Amina
03:39:31
Thanks Ruth for this great talk!
Linus Schumacher
03:40:47
it’s in a book on Information Criteria and Statistical Modeling (Konishi & Kitagawa)
Helen Byrne
03:53:11
If you combine density and Crocker summaries, can you improve parameter estimates?
Helen Byrne
03:58:50
Really nice set of talks.
Daniel Cruz
03:59:03
Thanks for the sessions!
Adriana Dawes
03:59:06
Great session everyone!
Katherine Pearce
03:59:07
Thank you!
Ruth Baker
03:59:14
Link to the meeting: https://zoom.us/j/95178941663
Keisha Cook
03:59:14
Thank you for organizing!!
Rodrigo A. García
03:59:17
Thank you!