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Class: SchemaFactory Bio/NeuralNetwork/Gene/Schema.py

Generate Schema from inputs of Motifs or Signatures.

Methods   
__init__
_get_num_motifs
_get_unique_schema
_schema_from_motif
from_motifs
from_signatures
  __init__ 
__init__ ( self,  ambiguity_symbol='*' )

Initialize the SchemaFactory

Arguments:

  • ambiguity_symbol -- The symbol to use when specifying that a position is arbitrary.

  _get_num_motifs 
_get_num_motifs (
        self,
        repository,
        motif_list,
        )

Return the number of motif counts for the list of motifs.

  _get_unique_schema 
_get_unique_schema (
        self,
        cur_schemas,
        motif_list,
        num_ambiguous,
        )

Retrieve a unique schema from a motif.

We don't want to end up with schema that match the same thing, since this could lead to ambiguous results, and be messy. This tries to create schema, and checks that they do not match any currently existing schema.

  _schema_from_motif 
_schema_from_motif (
        self,
        motif,
        motif_list,
        num_ambiguous,
        )

Create a schema from a given starting motif.

Arguments:

  • motif - A motif with the pattern we will start from.

  • motif_list - The total motifs we have.to match to.

  • num_ambiguous - The number of ambiguous characters that should be present in the schema.

Returns:

  • A string representing the newly generated schema.

  • A list of all of the motifs in motif_list that match the schema.

  from_motifs 
from_motifs (
        self,
        motif_repository,
        motif_percent,
        num_ambiguous,
        )

Generate schema from a list of motifs.

Arguments:

  • motif_repository - A MotifRepository class that has all of the motifs we want to convert to Schema.

  • motif_percent - The percentage of motifs in the motif bank which should be matches. We'll try to create schema that match this percentage of motifs.

  • num_ambiguous - The number of ambiguous characters to include in each schema. The positions of these ambiguous characters will be randomly selected.

  from_signatures 
from_signatures (
        self,
        signature_repository,
        num_ambiguous,
        )

Exceptions   
NotImplementedError( "Still need to code this." )

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