English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA sequencing data

Yang, W., Rosenstiel, P., & Schulenburg, H. (2019). aFold – using polynomial uncertainty modelling for differential gene expression estimation from RNA sequencing data. BMC Genomics, 20: 364. doi:10.1186/s12864-019-5686-1.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-0004-4AE3-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0004-4AE4-8
Genre: Journal Article

Files

show Files
hide Files
:
Yang_et_al_2019.pdf (Publisher version), 3MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0004-4AE5-7
Name:
Yang_et_al_2019.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
https://creativecommons.org/licenses/by/4.0/
:
12864_2019_5686_MOESM1_ESM.pdf (Supplementary material), 3MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-0004-4AE6-6
Name:
12864_2019_5686_MOESM1_ESM.pdf
Description:
-
OA-Status:
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show
hide
Locator:
https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-019-5686-1?optIn=false (Publisher version)
Description:
-
OA-Status:

Creators

show
hide
 Creators:
Yang, Wentao, Author
Rosenstiel, Philip, Author
Schulenburg, Hinrich1, Author           
Affiliations:
1Max Planck Fellow Group Antibiotic Resistance Evolution, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_2600692              

Content

show
hide
Free keywords: -
 Abstract: Data normalization and identification of significant differential expression represent crucial steps in RNA-Seq analysis. Many available tools rely on assumptions that are often not met by real data, including the common assumption of symmetrical distribution of up- and down-regulated genes, the presence of only few differentially expressed genes and/or few outliers. Moreover, the cut-off for selecting significantly differentially expressed genes for further downstream analysis often depend on arbitrary choices.

Details

show
hide
Language(s): eng - English
 Dates: 2018-11-282019-04-012019-05-102019
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1186/s12864-019-5686-1
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: BMC Genomics
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: BioMed Central
Pages: - Volume / Issue: 20 Sequence Number: 364 Start / End Page: - Identifier: ISSN: 1471-2164
CoNE: https://pure.mpg.de/cone/journals/resource/111000136905010