The default network is First-order Network including your queries and their direct interaction partners. We recommend to control the total nodes to be in the range of 200 ~ 2000 for practical reasons - larger networks are difficult to navigate and interpret ("hairball" effect); while smaller networks will not give systems-level understanding. If the networks are too small or too large, you can either adjust your input (seeds), or use the tools below to fine control your network size.

• Second-order Network: this function will search for higher-order interactions (i.e. friends' friends) - recommended for very small networks (i.e. < 200 nodes);
• First-order Network (default): reset the current network to the default (first-order network).
• Zero-order Network: keep only seed proteins that directly interact with each other (zero-order network) - suitable when there are a large number of seed proteins (i.e. > 500 seeds);
• Minimum Network: keep seed proteins as well as essential non-seed proteins that maintain the network connection - suitable for simplifying a dense network to study key connectivities.
• Degree: the degree of a node is the number of connections it has to other nodes. Nodes with higher degree act as important "hubs" in a network.
• Betweenness: the betweenness measures the number of shortest paths going through the node. Nodes with higher betweenness act as important "bottlenecks" in a network.
• Steiner Forest Network: this is similar to minimum network, but based on a fast heuristic Prize-collecting Steiner Forest (PCSF) algorithm
• Batch Exclusion: Enter a list of genes that you want to exclude from the resulting network.
• Tissue Filter: filter genes according to gene expression measured in specific tissues.