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coexnet

1.20.0Bioconductor

coexnet: An R package to build CO-EXpression NETworks from Microarray Data

No longer in Bioconductor

Last in
Bioconductor 3.16, 2 Nov 2022
First without it
3.17, 26 Apr 2023
Distinct IPs a month, method
188Rank 2,766 in its category
Bioconductor releases
11since 2017
Advisories, method
None publishedfor Bioconductor

Extracts the gene expression matrix from GEO DataSets (.CEL files) as a AffyBatch object. Additionally, can make the normalization process using two different methods (vsn and rma).

Full description

Extracts the gene expression matrix from GEO DataSets (.CEL files) as a AffyBatch object. Additionally, can make the normalization process using two different methods (vsn and rma). The summarization (pass from multi-probe to one gene) uses two different criteria (Maximum value and Median of the samples expression data) and the process of gene differentially expressed analisys using two methods (sam and acde). The construction of the co-expression network can be conduced using two different methods, Pearson Correlation Coefficient (PCC) or Mutual Information (MI) and choosing a threshold value using a graph theory approach.

Licence
LGPL
First release
Bioconductor 3.6, 31 Oct 2017

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More details
Releases
11 of 49 Bioconductor releases
Needs R
>= 3.6
biocViews (8)
Cite

Package

Run in R for the authors' preferred citation:

citation("coexnet")

R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA
Balamuta, J. J. (2026). R Observatory: Metrics for coexnet version 1.20.0 [Data set]. HJJB, LLC. Data release v2026-10-28. https://doi.org/10.5281/zenodo.21843040
About

From data release v2026-10-28, which the citation names so these numbers can be found later.

No build report is on record for this package.

Total downloads in the latest complete month
1,555It comes from Bioconductor alone. Bioconda was counted over another window, so it is not added.

Rank in category, by distinct IPs

2,766 of 3,170

Bioconductor

1,555 downloads in the latest complete month

Distinct IP addresses average 188 a month over 12 months, which is a different measure and is never added.

It is in the total. Take it out

Bioconda

52 downloads in the last 30 days

It is not added because it has no figure for the latest complete month.

This local copy has no series over time.

Compare downloads

Needs
15
Dependent packages
00 on CRAN, 0 on Bioconductor
Suggested by
0
Needs (15)
Optional extras (3)

The code of this package has not been analysed.

No people on record

No repository on record

R releases
  • In Bioconductor
  • In no release
  • Bioconductor release
3.63.73.83.93.103.113.123.133.143.153.16Not in 3.17
ReleaseReleasedR
3.162 Nov 20224.2
3.1527 Apr 20224.2
3.1427 Oct 20214.1
3.1320 May 20214.1
3.1228 Oct 20204.0
3.1128 Apr 20204.0
3.1030 Oct 20193.6
3.93 May 20193.6
Earlier releases (3)
ReleaseReleasedR
3.831 Oct 20183.5
3.71 May 20183.5
3.631 Oct 20173.4
Entered Bioconductor
Release 3.6, 31 Oct 2017