Light

reese3928 / nbamseq Goto Github PK

View Code? Open in Web Editor NEW

2.0 2.0 1.0 48 KB

Negative Binomial Additive Model for RNASeq Data

Home Page: https://bioconductor.org/packages/release/bioc/html/NBAMSeq.html

R 100.00%

differential-expression gene-expression generalized-additive-models generalized-linear-models negative-binomial-regression splines

nbamseq's People

Contributors

Stargazers

Watchers

Forkers

nbamseq's Issues

Error in smooth.construct.tp.smooth.spec when analyzing RNASEQ with covariate

I am trying to analyze an RNASEQ dataset using the NBAMSeq package in R, but I am encountering an error when trying to include a covariate with 5 different points. The error message I am receiving is: "Error in smooth.construct.tp.smooth.spec(object, dk$data, dk$knots) : A term has fewer unique covariate combinations than specified maximum degrees of freedom."

I am unsure of how to proceed and would appreciate any assistance in resolving this issue.

Recommend Projects

React

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

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

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

An Open Source Machine Learning Framework for Everyone
Django

The Web framework for perfectionists with deadlines.
Laravel

A PHP framework for web artisans
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.
Visualization

Some thing interesting about visualization, use data art
Game

Some thing interesting about game, make everyone happy.

Recommend Org

Facebook

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

Open source projects and samples from Microsoft.
Google

Google ❤️ Open Source for everyone.
Alibaba

Alibaba Open Source for everyone
D3

Data-Driven Documents codes.
Tencent

China tencent open source team.