Hi, I am curious to hear your professional opinion about how to fit a model that I find to be challenging. I have measurements of oxygen consumption taken at 4 different temperatures for 520 eggs belonging to 80 species of insects. The goal of my model is to look at how a series of predictors like location, mortality ecc. influence the slopes of the lines that describe the change in oxygen consumption across the 4 measurement temperatures. Oxygen consumption intuitively increases with egg mass, measurement temperature and age of the egg. What I do not understand is how to make these slopes the dependent variables. If I first make a model like oxygen~egg mass+age+measurement temperature and then I use the slopes for each species as dependent variable in a model like slopes~site+mortality+ambient temperature is that correct? Or is that discourage because I am doing statistics on statistics? Conversely, if I build only one model like oxygen~egg mass+age+measurement temperature+site+mortality+ambient temperature is this model actually looking at slopes? Sorry for the long question but I find it hard to get a reasonable answer by myself. Cheers
Hello! I have a question- How did the GEPIA2 browser calculate the association and how do we test its accuracy/precision? Thank you so much, I am absolutely loving the course :)
Hi Sage k -- Gepia2 is using a survival analysis via the cox proportional hazards model. The model can test whether there is a significant relationship between some feature (e.g., whether a patient has high or low expression of a gene) and survival. I don't think it is very common to use this model for machine learning -- but it can certainly be applied that way! Here is a nice open access article discussing machine learning models for survival analysis: www.nature.com/articles/s41598-020-77220-w
Hi Yudi -- sorry, the registration has passed... But you can always follow the workshop asynchronously at any time! Subscribe to our mailing list to hear about our future workshops: www.bigbioinformatics.org/workshops
Hi, im totally new to R . I study biology, would you recommend me to watch module 1 and 6 only, or all 6 of the modules? Thanks
Pls how do I access the datacamp course through the classroom cos rn I've reached half way through the course it says I have to upgrade 😢
Hi, I am curious to hear your professional opinion about how to fit a model that I find to be challenging. I have measurements of oxygen consumption taken at 4 different temperatures for 520 eggs belonging to 80 species of insects. The goal of my model is to look at how a series of predictors like location, mortality ecc. influence the slopes of the lines that describe the change in oxygen consumption across the 4 measurement temperatures. Oxygen consumption intuitively increases with egg mass, measurement temperature and age of the egg. What I do not understand is how to make these slopes the dependent variables. If I first make a model like oxygen~egg mass+age+measurement temperature and then I use the slopes for each species as dependent variable in a model like slopes~site+mortality+ambient temperature is that correct? Or is that discourage because I am doing statistics on statistics? Conversely, if I build only one model like oxygen~egg mass+age+measurement temperature+site+mortality+ambient temperature is this model actually looking at slopes? Sorry for the long question but I find it hard to get a reasonable answer by myself.
Cheers
Is R programming course full?
Hello! I have a question- How did the GEPIA2 browser calculate the association and how do we test its accuracy/precision?
Thank you so much, I am absolutely loving the course :)
Hi Sage k -- Gepia2 is using a survival analysis via the cox proportional hazards model. The model can test whether there is a significant relationship between some feature (e.g., whether a patient has high or low expression of a gene) and survival.
I don't think it is very common to use this model for machine learning -- but it can certainly be applied that way! Here is a nice open access article discussing machine learning models for survival analysis: www.nature.com/articles/s41598-020-77220-w
Can I still enroll in the course? Thanks for organizing this workshop - started going through the modules today!
Will follow along with the course through the recorded videos this time around if it's closed.
Hi Yudi -- sorry, the registration has passed... But you can always follow the workshop asynchronously at any time! Subscribe to our mailing list to hear about our future workshops: www.bigbioinformatics.org/workshops