Giter Site home page Giter Site logo

Comments (5)

MikeDMorgan avatar MikeDMorgan commented on August 10, 2024 1

You would need to reduce k if these cells are not well separated in the NN-graph, bearing in mind the need to balance sufficient counts in each nhood for the DA testing.

from milor.

carlacohen avatar carlacohen commented on August 10, 2024 1

Hi @MikeDMorgan yes I was able to tweak the parameters and create neighbourhoods that represented the missing cell type. Thanks for your help

from milor.

MikeDMorgan avatar MikeDMorgan commented on August 10, 2024

Hi @carlacohen - the neighbourhood annotation is based on a majority vote of cells in each neighbourhood - therefore, if there if the missing cell types are in nhoods with other cell types, but don't reach a majority, then they won't be observed at the nhood level. You should be able to see this in the output of annotateNhood in the {variable}_col_fraction column.

You can double-check this yourself, but computing for each nhood the proportion of each cell type, and see that the missing cell type is never in the majority.

from milor.

carlacohen avatar carlacohen commented on August 10, 2024

Thanks for the quick reply! That makes sense, I guess this is a caveat of having a very rare population of cells in the analysis.
Do you think reducing the size of neighbourhoods would help or will I never really be able to pull them out (the myofibroblast cluster only comprises 341 cells, and there are ~25k cells in the object)?

from milor.

MikeDMorgan avatar MikeDMorgan commented on August 10, 2024

Hi @carlacohen did this fix your issue?

from milor.

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.