
11:46
Depends on the size of the data and number of covariates you want to include, as well as how the data is distributed.

26:27
You can use the survival model Jack is talking about whenever you want to estimate the effect of X on time period (e.g. from diagnosis to death, time it takes to get to the ED, time between appointments, etc)

27:08
The lasso selection model is used when we have lots of observations and lots of Xs to include as explanatory factors and cannot select which ones are most important

27:48
rIght now, Jack is going over how to put together an RNA-Seq dataset from the TCGA to study your cancer type

33:12
Ahmad can use this to put together a dataset for renal cancers

33:47
Neelaab can use this to put together a dataset of all sarcomas and muscle tumors as well.

35:05
We already have LGG dataset for Ikhianosen and GBM data for John

35:27
For brain tumors, please get in touch with Jack and me in your respective slack channel to obtain the data.

36:03
Everyone can use their slack channel to get further help on how to work with this script if their project involves TCGA.