A neural networks algorithm for inferring drug gene regulatory networks from microarray time-series with missing transcription factors information

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 848-854

  Floares, Alexandra George ^a,b  

^a Solutions of Artificial Intelligence Applications Cluj Napoca   (Romania)

^b THE ONCOLOGY INSTITUTE PROF DR ION CHIRICUTA   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

ALGEBRAIC EQUATIONS; APRIORI; DOSAGE REGIMEN; GENE NETWORKS; GENE REGULATORY NETWORKS; HIGH-THROUGHPUT; MATHEMATICAL MODELING; MICROARRAY EXPERIMENTS; MISSING INFORMATION; NEURAL NETWORKS ALGORITHMS; RELATED COMPOUNDS; REVERE ENGINEERING; SYSTEMS OF DIFFERENTIAL EQUATIONS; TIME-SERIES DATA;

ALGORITHMS; DRUG DOSAGE; FEEDBACK LINEARIZATION; GENETIC PROGRAMMING; KNOWLEDGE ENGINEERING; NEURAL NETWORKS; REENGINEERING; REVERSE ENGINEERING; TIME SERIES; TRANSCRIPTION; TRANSCRIPTION FACTORS;

ORDINARY DIFFERENTIAL EQUATIONS;

EID: 70449553780     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5179081     Document Type: Conference Paper

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