Suggestion

[Deleted user]

Thanks for this wonderful resource page!

I suggest to add to the multi-omics data integration list this implementation of a tri-factorization algorithm for both discovery and prediction (Matlab code: https://gitlab.com/smarini/MaDDA/), applied for grouping patient for precision oncology ("Patient similarity by joint matrix tri-factorization to identify subgroups in precision oncology", Vitali et al., Jamia OPEN, in press) and protease-target prediction (https://www.biorxiv.org/content/early/2018/03/03/275024).

[jdidion]

Thanks Simone! Feel free to add this to the list via a pull request. I will approve it.

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On Apr 2, 2018, at 8:42 PM, simone-marini ***@***.***> wrote: Thanks for this wonderful resource page! I suggest to add to the multi-omics data integration list this implementation of a tri-factorization algorithm for both discovery and prediction (Matlab code: https://gitlab.com/smarini/MaDDA/ <https://gitlab.com/smarini/MaDDA/>), applied for grouping patient for precision oncology ("Patient similarity by joint matrix tri-factorization to identify subgroups in precision oncology", Vitali et al., Jamia OPEN, in press) and protease-target prediction (https://www.biorxiv.org/content/early/2018/03/03/275024 <https://www.biorxiv.org/content/early/2018/03/03/275024>). — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#5>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAHrnlt8pZ1iclzHtgXbChn2DsQ0SxKCks5tksV8gaJpZM4TESFl>.