MNI – Identify the Gene Targets of a Drug Treatment based on Gene-expression data

MNI

:: DESCRIPTION

The MNI (Mode-of-action by Network Inference ) is an algorithm to identify the gene targets of a drug treatment based on gene-expression data. In a typical use of the algorithm, a single expression profile, say obtained as a result of a treatment under study, is used as the test profile while a set of hundreds of expression profiles is used as the training set. The MNI algorithm uses the large training data set of expression profiles to construct a statistical model of gene-regulatory networks in a cell or tissue. The model describes combinatorial influences of genes on one another.

::DEVELOPER

di Bernardo Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows / MacOsX
  • MatLab

:: DOWNLOAD

 MNI

:: MORE INFORMATION

Citation

Nat Protoc. 2006;1(6):2551-4.
The mode-of-action by network identification (MNI) algorithm: a network biology approach for molecular target identification.
Xing H, Gardner TS.

FacPad 3.0 – Bayesian Sparse Factor Modeling for the Inference of Pathways responsive to Drug Treatment

FacPad 3.0

:: DESCRIPTION

FacPad is an R package implementing a Bayesian sparse factor model for the inference of pathways responsive to drug treatment.

::DEVELOPER

Zhao Hongyu’s Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/ Linux/MacOsX
  • R package

:: DOWNLOAD

  FacPad

:: MORE INFORMATION

Citation

Bioinformatics. 2012 Oct 15;28(20):2662-70. doi: 10.1093/bioinformatics/bts502. Epub 2012 Aug 24.
FacPad: Bayesian sparse factor modeling for the inference of pathways responsive to drug treatment.
Ma H, Zhao H.

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