Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Performance on genes with targeted cancer therapies #72

Open
dhimmel opened this issue Dec 7, 2016 · 11 comments
Open

Performance on genes with targeted cancer therapies #72

dhimmel opened this issue Dec 7, 2016 · 11 comments

Comments

@dhimmel
Copy link
Member

dhimmel commented Dec 7, 2016

It seems that some of the most interesting genes to predict using expression will be genes that have targeted therapies. These genes are ideal, because we may be able identify unmutated samples that would still respond to the therapy based on their expression.

Here's a list of targeted cancer drugs and thier genes. Tagging @brankaj.

@KT12
Copy link
Contributor

KT12 commented Dec 14, 2016

Would it be a good idea to add a new folder attempting to predict the genes on that list?

@brankaj
Copy link
Member

brankaj commented Dec 14, 2016

Hey @KT12 ,
I believe we can still upload the files to this folder:
https://github.com/cognoma/machine-learning/tree/master/explore.
Maybe we can name files based on the different subset of genes.

@KT12
Copy link
Contributor

KT12 commented Dec 14, 2016

@brankaj , sounds good. Sorry I didn't realize what the folder was for.

@KT12
Copy link
Contributor

KT12 commented Dec 15, 2016

Perhaps naming convention could be:

Classifier_Gene_Github-handle.ipynb
where Gene = column head from mutation-matrix.tsv.bz2?

@dhimmel would you like to weigh in?

@dhimmel
Copy link
Member Author

dhimmel commented Dec 15, 2016

@KT12: I'm not sure you need a new notebook for every mutation. It could be a good time to start migrating to the cognoml package for machine learning, in which case you could perhaps do multiple models in a single notebook.

@KT12
Copy link
Contributor

KT12 commented Dec 15, 2016

Understood!

@KT12
Copy link
Contributor

KT12 commented Dec 20, 2016

I experienced some issues doing pip install --editable . for cognoml, but I guess we can discuss this at the meetup tonight.

@dhimmel
Copy link
Member Author

dhimmel commented Dec 20, 2016

@KT12 can you post the error as a new issue on https://github.com/cognoma/cognoml/issues

@KT12
Copy link
Contributor

KT12 commented Dec 20, 2016

I would but it might be my own fault.
I git clone'd cognoml to a new directory and then did pip install --editable .
By process of elimination, I think it may have messed up other package dependencies (scipy and nltk), but I'm not certain. So I'd like to reattempt installing in the presence of experts before raising a new issue.

@dhimmel
Copy link
Member Author

dhimmel commented Dec 20, 2016

So I'd like to reattempt installing in the presence of experts before raising a new issue.

No problem. In general I think it's more important to keep discussion of an open issue on topic. Opening a new issue isn't a big deal as it's easy to close it in case of use error. And if there's actually a bug (which there often is), we want a record. We'll look into this tonight.

@KT12
Copy link
Contributor

KT12 commented Dec 21, 2016

Re-installed in the cognoma-machine-learning environment and it hasn't interfered. So chalk my problem up to user error.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants