GithubHelp home page GithubHelp logo

ibex's Introduction

About Me

I am the Head of Computational Biology at Omniscope. I recieved my MD/PhD from the University of Iowa, as part of the medical scientist training program. I was also a member of the Washington University Department of Pathology and Immunology dual residency and post-doc PSTP program. At WashU, I was co-mentored by Jon Brestoff and David DeNardo. My research focused on the use of innate cellular barcodes, such as mitochondrial genome and adaptive immune receptor sequences, to track immune responses and predict clinical outcomes.

More information is available via my website (including pdfs of my publications).

My Google Scholar profile is available here.

GitHub Stats

Nick's github stats

ibex's People

Contributors

ncborcherding avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

Forkers

drsei

ibex's Issues

using Ibex when dataset was not processed with scRepertoire

Hello,
this is a great idea, been looking to try something like this and looked like the T cell people were more advanced.

Have a couple of questions:

  • I already have an SCE object with integrated vdj data, I have the aa sequences, V gene identity and of course barcode, and I have subsetted so they are all heavy chain only. Is there a way to use this without starting again with scRepertoire?. Looks from getBCR that I could change the name of my colnames in colData for aa, v genes. to match the ones used by scRepertoire.... Would this work? what else would I need to change or make sure to go directly to runIbex with my SCE.

  • which dataset was used for the training? Sorry I might have missed it and not very familiar yet with machine learning.

Finally, a suggestion:
Pulling V genes just with grep from GEX data is not ideal as there are a lot of pseudogenes, I would suggest using chromosomal location or the biotype assigned by cellranger, soomething like:
ig_list <- c("IG_C_gene", "IG_C_pseudogene", "IG_D_gene", "IG_D_pseudogene", "IG_J_gene", "IG_LV_gene", "IG_pseudogene", "IG_V_gene", "IG_V_pseudogene")

And then can query into biomart for genes that have that biotype that are also in your dataset.

Carlos

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.