Amine (Active Module Identification based on Network Embedding) is a new and efficient method for active module detection based on network embedding.
This method uses a greedy approach to build the clusters based on the similarity of the nodes' encoding vectors and a metric that takes into account the activity of the contained nodes.
The method can be executed online on our server using the form below.
The input file should be a csv or an excel file of 5Mo maximum. Please refer to the About page for more information.
Please note that depending on the number of jobs queued, the processing time may take several hours. Therefore, we encourage users to enter their email address so that they can be notified when the results are available.