JELI: Joint Embedding-classifier Learning for improved Interpretability
We mentioned in a previous blog post the issues in machine learning for drug repurposing related to imbalanced drug-disease outcomes -that is, sparse results...
We mentioned in a previous blog post the issues in machine learning for drug repurposing related to imbalanced drug-disease outcomes -that is, sparse results...
By now, you should be aware that our objectives are to overcome the high cost, duration, and risk issues in traditional de novo drug development pipelines. T...
2025 starts with another of our papers [1] being currently in press at Scientific Reports!
The second chapter of the RECeSS project aims at providing interpretable classification (into positive and negative associations) of drug-disease pairs. We a...
We are glad to announce that our first (tool) paper has been accepted at Journal of Open Source Software !
The Python package benchscofi for the benchmark of collaborative filtering-based approaches to drug repurposing is out!
We introduce our Python package stanscofi for the development of collaborative filtering-based drug repurposing algorithms!
We are really excited to present the first two drug repurposing datasets for collaborative filtering produced during the RECeSS project!
We are pleased to launch the blog associated with the Robust Explainable Controllable Standard for drug Screening (RECeSS) project!
This post is the second part of this one. We will use the same running example on epileptic mice exposed to a CSF1R inhibitor. In the previous post, one appr...
The second chapter of the RECeSS project aims at providing interpretable classification (into positive and negative associations) of drug-disease pairs. But ...
Drug repurposing is a paradigm for drug development, where drug discovery focuses on already commercialized molecules. The key idea is that if those molecule...