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eegc

Bioc removed

Engineering Evaluation by Gene Categorization (eegc)

v1.30.0 · GPL-2

Release Lineage

Entered 3.4 · Oct 18, 2016

Removed after 3.19 · May 1, 2024

1.0 In 16 of 49 releases 3.23

Description

This package has been developed to evaluate cellular engineering processes for direct differentiation of stem cells or conversion (transdifferentiation) of somatic cells to primary cells based on high throughput gene expression data screened either by DNA microarray or RNA sequencing. The package takes gene expression profiles as inputs from three types of samples: (i) somatic or stem cells to be (trans)differentiated (input of the engineering process), (ii) induced cells to be evaluated (output of the engineering process) and (iii) target primary cells (reference for the output). The package performs differential gene expression analysis for each pair-wise sample comparison to identify and evaluate the transcriptional differences among the 3 types of samples (input, output, reference). The ideal goal is to have induced and primary reference cell showing overlapping profiles, both very different from the original cells.

Advisories

None published for Bioconductor

Code intelligence has not been computed for this package yet.

Code

Code metrics have not been computed for this package yet.

Topics

Available on

CRANr2uBioconductorautoCRANCOPR

People

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Cite

Cite this package

Run in R for the authors' preferred citation:

citation("eegc")

Cite the 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 eegc version 1.30.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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