pypath.resources.data_formats.activity_flow

pypath.resources.data_formats.activity_flow = {'adhesome': <pypath.internals.input_formats.NetworkInput object>, 'arn': <pypath.internals.input_formats.NetworkInput object>, 'baccin2019': <pypath.internals.input_formats.NetworkInput object>, 'ca1': <pypath.internals.input_formats.NetworkInput object>, 'cellchatdb': <pypath.internals.input_formats.NetworkInput object>, 'cellinker': <pypath.internals.input_formats.NetworkInput object>, 'cellphonedb': <pypath.internals.input_formats.NetworkInput object>, 'celltalkdb': <pypath.internals.input_formats.NetworkInput object>, 'connectomedb': <pypath.internals.input_formats.NetworkInput object>, 'death': <pypath.internals.input_formats.NetworkInput object>, 'guide2pharma': <pypath.internals.input_formats.NetworkInput object>, 'hpmr': <pypath.internals.input_formats.NetworkInput object>, 'icellnet': <pypath.internals.input_formats.NetworkInput object>, 'lrdb': <pypath.internals.input_formats.NetworkInput object>, 'macrophage': <pypath.internals.input_formats.NetworkInput object>, 'nrf2': <pypath.internals.input_formats.NetworkInput object>, 'pdz': <pypath.internals.input_formats.NetworkInput object>, 'ramilowski2015': <pypath.internals.input_formats.NetworkInput object>, 'scconnect': <pypath.internals.input_formats.NetworkInput object>, 'signalink3': <pypath.internals.input_formats.NetworkInput object>, 'signor': <pypath.internals.input_formats.NetworkInput object>, 'spike': <pypath.internals.input_formats.NetworkInput object>, 'talklr': <pypath.internals.input_formats.NetworkInput object>, 'trip': <pypath.internals.input_formats.NetworkInput object>}

Pathway (activity flow) resources without literature references.