A novel method for crosstalk analysis of biological networks: Improving accuracy of pathway annotation

Nucleic Acids Research

Volumn 45, Issue 2, 2017, Pages e8-

  Ogris, Christoph ^a   Guala, Dimitri ^a   Helleday, Thomas ^b   Sonnhammer, Erik L L ^a  

^a STOCKHOLM UNIVERSITY   (Sweden)

^b SCIENCE FOR LIFE LABORATORY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; ARTIFICIAL NEURAL NETWORK; BENCHMARKING; BINOX ANALYSIS; CONTROLLED STUDY; DATA ANALYSIS; DATA PROCESSING; FALSE POSITIVE RESULT; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PROCESS DEVELOPMENT; STATISTICAL ANALYSIS; ALGORITHM; BIOLOGY; GENE REGULATORY NETWORK; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMAN; METABOLISM; PROCEDURES; SIGNAL TRANSDUCTION; SOFTWARE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; GENE REGULATORY NETWORKS; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; METABOLIC NETWORKS AND PATHWAYS; SIGNAL TRANSDUCTION; SOFTWARE;

EID: 85014051141     PISSN: 03051048     EISSN: 13624962     Source Type: Journal    
DOI: 10.1093/nar/gkw849     Document Type: Article

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