A scaling normalization method for differential expression analysis of RNA-seq data

Overview of attention for article published in Genome Biology, March 2010

Altmetric Badge

About this Attention Score

In the top 5% of all research outputs scored by Altmetric
High Attention Score compared to outputs of the same age (98th percentile)
High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news: 2 news outlets
blogs: 4 blogs
twitter: 39 X users

patent: 21 patents
wikipedia: 4 Wikipedia pages
q&a: 2 Q&A threads

Citations

dimensions_citation: 6022 Dimensions

Readers on

mendeley: 5403 Mendeley
citeulike: 81 CiteULike
connotea: 5 Connotea

Summary News Blogs X Patents Wikipedia Q&A Misc. Dimensions citations

So far, Altmetric has seen 2 Q&A posts from 2 users.

Should I use Raw Counts, TPMs, or RPKM gene expression values for training ML models?

Posted by Michael, at stats.stackexchange.com, 26 Jan 2022

I am currently using TPMs(Transcripts per Million) in my ML models, but I have read recently that this may introduce unwanted…

454 normalization

Posted by tam, at biostar.stackexchange.com, 01 Jun 2010

Hi I have 454 results. I have list of contigs and number of reads for each time point. I need to normalized it. My aim is to…

This page shows the most recent Q&A posts that mention this research output.

Click here to find out how to access more activity.