Sets2Networks – Network Inference from Repeated Observations of Sets

Sets2Networks

:: DESCRIPTION

Sets2Networks (S2N) is general method for network inference from repeated observations of sets of related entities. Given experimental observations of sets of related entities, S2N infers the underlying network of binary interactions between these entities by generating an ensemble of networks consistent with the data; the frequency of occurrence of a given interaction throughout this ensemble is interpreted as the probability that the interaction is present in the underlying real network.

::DEVELOPER

Ma’ayan Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

BMC Syst Biol. 2012 Jul 23;6:89. doi: 10.1186/1752-0509-6-89.
Sets2Networks: network inference from repeated observations of sets.
Clark NR, Dannenfelser R, Tan CM, Komosinski ME, Ma’ayan A.