The Drug Mechanism of Action Algorithm Developed in the Califano Lab
The DeMAND algorithm is a method to elucidate drug mechanism of action by detecting which interactions in a network are dysregulated by the drug. Given gene expression profiles before and after the drug pertubation, as well as a molecular interaction network, DeMAND detects which nodes (i.e. proteins or genes) have dysregulated edges after the pertubation.
The DeMAND algorithm was developed in the lab of Andrea Califano. The first authors are Jung Hoon Woo and Yishai Shimoni. The corresponding authors are Mukesh Bansal and Andrea Califano. For further information about the algorithm, please see the included guide, and the original paper https://www.ncbi.nlm.nih.gov/pubmed/26186195.
The original version of DeMAND was written by Jung Hoon Woo. A faster version (DeMANDfast) was written by Alexander Lachmann. In my benchmark analysis, DeMANDfast is about 3-10 times faster than DeMAND, and the results are nearly identical.
DeMAND is written in R, so if you do not have R, install that first (https://www.r-project.org/). After DeMAND and DeMANDfast are downloaded, In the R script: The original DeMAND algorithim can be found at BioClite (https://www.bioconductor.org/packages/release/bioc/html/DeMAND.html). Please follow the instructions there to install.
DeMANDfast can only be found after installing the original DeMAND algorithm, an example of running it is found in example.r
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent