Git Product home page Git Product logo

Comments (2)

browaeysrobin avatar browaeysrobin commented on September 27, 2024

Hi @mariusmessemaker

You raise a valid issue here. First, know that we also included some mouse data sources into the general model (at least for the one-to-one orthologs), but these were strongly in the minority. Because this model is indeed tailored more for human, you can expect that it would perform a bit better for human than mouse, but I don't think the difference is very large. In our paper, we evaluated the ligand-target predictions based on >100 ligand treatment datasets of both human and mouse origin, and there is no indication on these datasets that human would work better than mouse.

Of course, you can also explore the possibility of constructing a mouse-specific model with only mouse data sources. This is some work, but is not so difficult. In the vignette https://github.com/saeyslab/nichenetr/blob/master/vignettes/model_construction.md, we show how to build a model yourself. The main thing to consider though, is that you should have enough primary data sources of mouse to do this.

So, and this is valid for applying NicheNet to all other species other than human, you should make the tradeoff between the homology between species, and the number and quality of data sources that are available to build a new species-specific model. For example, for mouse, you could use the human model, but for Drosophila making a new model from own data sources would be more appropriate.

In conclusion: it is possible to build a prior model only from mouse data sources, but I doubt it would work better than using the human model.

from nichenetr.

mariusmessemaker avatar mariusmessemaker commented on September 27, 2024

Thank you for your extensive answer @browaeysrobin!

from nichenetr.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.