About TrustRank
TrustRank is a node centrality measure that ranks nodes in a network based on how well they are connected to a (trusted) set of seed nodes.
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TrustRank is a node centrality measure that ranks nodes in a network based on how well they are connected to a (trusted) set of seed nodes.
Specifies whether also drugs targeting interactors of the seed nodes should be considered.
The larger the damping factor, the faster the trust is propagated through the network.
All nodes with degree greater than this value will be ignored. Disabled if equal to 0.
Penalty parameter for hubs.
Closeness Centrality is a node centrality measure that ranks the nodes in a network based on the lengths of their shortest paths to all other nodes in the network.
Specifies whether also drugs targeting interactors of the seed nodes should be considered.
All nodes with degree greater than this value will be ignored. Disabled if equal to 0.
Penalty parameter for hubs.
Degree Centrality assigns an importance score based simply on the number of links held by each node. In Drugst.One, we use a modified version which does not consider all links but only the neighbouring seeds.
All nodes with degree greater than this value will be ignored. Disabled if equal to 0.
Network Proximity uses the average minimum distance from the drug’s targets to all of the selected seeds as a measure of proximity.
All nodes with degree greater than this value will be ignored. Disabled if equal to 0.
Penalty parameter for hubs.
Betweenness Centrality ranks the proteins in a network based on how many shortest paths pass through them.
All nodes with degree greater than this value will be ignored. Disabled if equal to 0.
Penalty parameter for hubs.
KeyPathwayMiner is a network enrichment tool that identifies condition-specific sub-networks (key pathways) (Alcaraz et al. 2016).
Number of new proteins to be found.
The Multi-level Steiner Tree algorithm can be used to approximate a minimum spanning subnetwork between seed nodes, which happen to be central interaction partners between the seed nodes, and thus represent favorable drug-targets (Ahmed et al. 2019).
All nodes with degree greater than this value will be ignored. Disabled if equal to 0.
Penalty parameter for hubs.