pcaMethods—a bioconductor package providing PCA methods for incomplete data
Clicks: 8
ID: 297360
2007
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
2.1
/100
8 views
1 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #141 of 825 articles by views in BMC Bioinformatics
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 825 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Abstract Summary: pcaMethods is a Bioconductor compliant library for computing principal component analysis (PCA) on incomplete data sets. The results can be analyzed directly or used to estimate missing values to enable the use of missing value sensitive statistical methods. The package was mainly developed with microarray and metabolite data sets in mind, but can be applied to any other incomplete data set as well. Availability: http://www.bioconductor.org Contact: selbig@mpimp-golm.mpg.de Supplementary information: Please visit our webpage at http://bioinformatics.mpimp-golm.mpg.de/
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (87 words).
Try re-searching for a better abstract.
| Reference Key |
openalex_W2167942713
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Wolfram Stacklies, Henning Redestig, Matthias Scholz, Dirk Walther, Joachim Selbig |
| Journal | BMC Bioinformatics |
| Year | 2007 |
| DOI |
10.1093/bioinformatics/btm069
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.