simLL                package:GOstats                R Documentation

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_D_e_s_c_r_i_p_t_i_o_n:

     Both 'simUI' and 'simLP' compute a similarity measure between two
     GO graphs. For 'simLL', first the induced GO graph for each of its
     arguments is found and then these are passed to one of 'simUI' or
     'simLP'.

_U_s_a_g_e:

     simLL(ll1, ll2, Ontology = "MF", measure = "LP", dropCodes = NULL)
     simUI(g1, g2)
     simLP(g1, g2)

_A_r_g_u_m_e_n_t_s:

     ll1: A Entrez Gene ID as a character vector. 

     ll2: A Entrez Gene ID as a character vector.

Ontology: Which ontology to use ("MF", "BP", "CC"). 

 measure: Which measure to use ("LP", "UI"). 

dropCodes: A set of evidence codes to be ignored in constructing the
          induced GO graphs. 

      g1: An instance of the 'graph' class.

      g2: An instance of the 'graph' class.

_D_e_t_a_i_l_s:

     For each of 'll1' and 'll2' the set of most specific GO terms
     within the ontology specified ('Ontology') that are not based on
     any excluded evidence code ('dropCodes') are found. Then the
     induced GO graphs are computed.

     Finally these graphs are passed to one of 'simUI', (union
     intersection), or 'simLP' (longest path). For 'simUI' the distance
     is the size of the intersection of the node sets divided by the
     size of the union of the node sets. Large values indicate more
     similarity. These similarities are between 0 and 1.

     For 'simLP' the length of the longest path in the intersection
     graph of the two supplied graph. Again, large values indicate more
     similarity. Similarities are between 0 and the maximum leaf depth
     of the graph for the specified ontology.

_V_a_l_u_e:

     A list with: 

    sim : The numeric similarity measure.

 measure: Which measure was used.

      g1: The graph induced by 'll1'.

      g2: The graph induced by 'll2'.


     If one of the supplied Gene IDs does not have any GO terms
     associated with it, in the selected ontology and with the selected
     evidence codes then 'NA' is returned.

_A_u_t_h_o_r(_s):

     R. Gentleman

_S_e_e _A_l_s_o:

     'makeGOGraph'

_E_x_a_m_p_l_e_s:

       aa = simLL("111", "112")
       bb = simLL("9184", "3547", "BP")

