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 increasingly large clusters of nodes based on the similarity of their encoding vectors and to evaluate them according to a metric taking 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. Check About page for more info.
You may enter your e-mail adress to be notified once you job is complete.