Steiner tree methods for optimal sub-network identification: An empirical study

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Sadeghi, Afshin ^a   Fröhlich, Holger ^a  

^a UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE SOLUTION; BIOLOGICAL NETWORKS; CONTEXT IDENTIFICATION; EMPIRICAL STUDIES; ORDERS OF MAGNITUDE; PROTEIN-PROTEIN INTERACTION NETWORKS; STEINER TREE PROBLEM; SYSTEMATIC SIMULATION;

APPROXIMATION ALGORITHMS; BIOINFORMATICS; PROTEINS;

TREES (MATHEMATICS);

ANDROGEN RECEPTOR; HDAC9 PROTEIN, HUMAN; HISTONE DEACETYLASE; REPRESSOR PROTEIN;

ALGORITHM; ALOPECIA; ARTICLE; BREAST TUMOR; FEMALE; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETICS; HUMAN; MALE; METABOLISM; METHODOLOGY; PROGNOSIS; PROTEIN ANALYSIS; SYSTEMS BIOLOGY;

ALGORITHMS; ALOPECIA; BREAST NEOPLASMS; FEMALE; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HISTONE DEACETYLASES; HUMANS; MALE; PROGNOSIS; PROTEIN INTERACTION MAPPING; RECEPTORS, ANDROGEN; REPRESSOR PROTEINS; SYSTEMS BIOLOGY;

EID: 84876788441     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-144     Document Type: Article

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