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Update readme to fix urls
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fbertran committed Mar 21, 2021
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2 changes: 1 addition & 1 deletion .gitignore
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Expand Up @@ -25,4 +25,4 @@ Meta

# User-specific files
.Ruserdata
doc

2 changes: 1 addition & 1 deletion DESCRIPTION
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Expand Up @@ -54,7 +54,7 @@ Maintainer: Frederic Bertrand <frederic.bertrand@math.unistra.fr>
Description: A modeling tool dedicated to biological network modeling (Bertrand and others 2020, <doi:10.1093/bioinformatics/btaa855>). It allows for single or joint modeling of, for instance, genes and proteins. It starts with the selection of the actors that will be the used in the reverse engineering upcoming step. An actor can be included in that selection based on its differential measurement (for instance gene expression or protein abundance) or on its time course profile. Wrappers for actors clustering functions and cluster analysis are provided. It also allows reverse engineering of biological networks taking into account the observed time course patterns of the actors. Many inference functions are provided and dedicated to get specific features for the inferred network such as sparsity, robust links, high confidence links or stable through resampling links. Some simulation and prediction tools are also available for cascade networks (Jung and others 2014, <doi:10.1093/bioinformatics/btt705>). Example of use with microarray or RNA-Seq data are provided.
License: GPL (>= 2)
Encoding: UTF-8
Collate: Patterns-package.R datasets.R global.R micro_array.R network.R micro_array-network.R
Collate: Patterns-package.R global.R datasets.R micro_array.R network.R micro_array-network.R
micropredict.R
Classification/MSC: 62J05, 62J07, 62J99, 92C42
VignetteBuilder: knitr
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2 changes: 1 addition & 1 deletion Patterns.Rproj
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Expand Up @@ -16,6 +16,6 @@ BuildType: Package
PackageUseDevtools: Yes
PackageInstallArgs: --no-multiarch --with-keep.source
PackageCheckArgs: --as-cran
PackageRoxygenize: rd,collate,namespace
PackageRoxygenize: rd

QuitChildProcessesOnExit: Yes
4 changes: 2 additions & 2 deletions README.Rmd
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Expand Up @@ -76,7 +76,7 @@ The weights are viewed as a penalty factors in the penalized regression model: i



![Evolution of a reverse-engineered network with increasing cut-off values.](docs/reference/evolution/animation.gif)
![Evolution of a reverse-engineered network with increasing cut-off values.](docs/reference/animation.gif)



Expand Down Expand Up @@ -494,7 +494,7 @@ Heatmap of the coefficients of the Omega matrix of the network
stats::heatmap(Net_inf_P_SelectBoostWeighted@network, Rowv = NA, Colv = NA, scale="none", revC=TRUE)
```

###Post inference network analysis
### Post inference network analysis
Such an analysis is only required if the model was not fitted using the stability selection or the selectboost algorithm.

Create an animation of the network with increasing cutoffs with an animated .gif format or a html webpage in the working directory.
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14 changes: 7 additions & 7 deletions README.md
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Expand Up @@ -67,7 +67,7 @@ The weights are viewed as a penalty factors in the penalized regression model: i



![Evolution of a reverse-engineered network with increasing cut-off values.](docs/reference/evolution/animation.gif)
![Evolution of a reverse-engineered network with increasing cut-off values.](docs/reference/animation.gif)



Expand Down Expand Up @@ -285,9 +285,10 @@ Plot the simulated network.

```r
Patterns::plot(Net, choice="network")
#> Error: 'plot' is not an exported object from 'namespace:Patterns'
```

<img src="man/figures/README-plotnet1-1.png" title="plot of chunk plotnet1" alt="plot of chunk plotnet1" width="100%" />

If a gene clustering is known, it can be used as a coloring scheme.

```r
Expand All @@ -308,9 +309,10 @@ Plot the F matrix using the `pixmap` package, for high dimensional F matrices.

```r
plot(Net, choice="Fpixmap")
#> Error in as.double(y): cannot coerce type 'S4' to vector of type 'double'
```

<img src="man/figures/README-plotFpixmap-1.png" title="plot of chunk plotFpixmap" alt="plot of chunk plotFpixmap" width="100%" />

We simulate gene expression according to the network that was previously drawn

```r
Expand Down Expand Up @@ -1331,8 +1333,6 @@ Net_inf_P_SelectBoost <- Patterns::inference(M, Finit=CascadeFinit(4,4), Fshape=


```
#> Warning: 'Patterns' namespace cannot be unloaded:
#> tentative d'obtenir le slot "defined" d'un objet d'une classe élémentaire ("environment") sans slots
#>
#> Attaching package: 'Patterns'
#> The following object is masked from 'package:igraph':
Expand Down Expand Up @@ -1403,7 +1403,7 @@ stats::heatmap(Net_inf_P_SelectBoostWeighted@network, Rowv = NA, Colv = NA, scal

<img src="man/figures/README-heatresultsSBW-1.png" title="plot of chunk heatresultsSBW" alt="plot of chunk heatresultsSBW" width="100%" />

###Post inference network analysis
### Post inference network analysis
Such an analysis is only required if the model was not fitted using the stability selection or the selectboost algorithm.

Create an animation of the network with increasing cutoffs with an animated .gif format or a html webpage in the working directory.
Expand All @@ -1421,7 +1421,7 @@ evolution(network,sequence,type.ani = "html", outdir=getwd())
```
![Evolution as .gif.](docs/reference/evolution/animation.gif)

[Evolution as .html.](reference/evolution/index.html)
[Evolution as .html.](docs/reference/evolution/index.html)

Evolution of some properties of a reverse-engineered network with increasing cut-off values.
![Evolution of some properties of a reverse-engineered network with increasing cut-off values.](docs/reference/compare-methods-1.png)
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4 changes: 3 additions & 1 deletion docs/articles/ExampleCLL.html

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2 changes: 1 addition & 1 deletion docs/pkgdown.yml
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Expand Up @@ -4,5 +4,5 @@ pkgdown_sha: ~
articles:
ExampleCLL: ExampleCLL.html
IntroPatterns: IntroPatterns.html
last_built: 2021-03-20T10:23Z
last_built: 2021-03-21T00:17Z

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