lemon-tree 3.1.1 – Biological Module Network Inference

lemon-tree 3.1.1

:: DESCRIPTION

LemonTree (former LeMoNe) is an algorithm to infer a module network from biological data. It can integrate heterogeneous data types such as expression data, copy number, microRNA, epigenetic profiles.

Advertisement

::DEVELOPER

Eric Bonnet

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/windows/MacOsX
  • Java

:: DOWNLOAD

 lemon-tree

:: MORE INFORMATION

Citation:

Integrative multi-omics module network inference with Lemon-Tree.
Bonnet E, Calzone L, Michoel T.
PLoS Comput Biol. 2015 Feb 13;11(2):e1003983. doi: 10.1371/journal.pcbi.1003983.

Transcription regulatory networks in Caenorhabditis elegans inferred through reverse-engineering of gene expression profiles constitute biological hypotheses for metazoan development.
Vermeirssen V, Joshi A, Michoel T, Bonnet E, Casneuf T, Van de Peer Y.
Mol Biosyst. 2009 Dec;5(12):1817-30. Epub 2009 Jul 17.

2 thoughts on “lemon-tree 3.1.1 – Biological Module Network Inference”

  1. Hello,

    I have a question regarding the parameters that can be modified during the -task tight_clusters . I would like to modify the minimum size o the clusters with the parameter min_clust_size. I have added the parameter in the command line with the new value min_clust_size = 30 but depending where I locate the parameter it either generate an error or it is simply ignored when executing the task. Could you provide an written example how this parameter must be entered in the command liner?

    thank you

    Quentin

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.