Mining of biological data I: Identifying discriminating features via mean hypothesis testing

Metabolic Engineering

Volumn 2, Issue 3, 2000, Pages 218-227

  Kamimura, Roy T ^a   Bicciato, Silvio ^b   Shimizu, Hiroshi ^c   Alford, Joe ^d   Stephanopoulos, Gregory ^a  

^a Massachusetts Institute of Technology Cambridge   (United States)

^b UNIVERSITY OF PADOVA   (Italy)

^c OSAKA UNIVERSITY   (Japan)

^d ELI LILLY AND COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL DATA; CLUSTER ANALYSIS; DATA ANALYSIS; METABOLIC ENGINEERING; PROCESS DESIGN;

EID: 0033667460     PISSN: 10967176     EISSN: None     Source Type: Journal    
DOI: 10.1006/mben.2000.0154     Document Type: Article

References (14)

1. Application of statistical process control to solid phase peptide synthesis
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3. Mining of biological data II: Assessing data structure and class homogeneity by cluster analysis
4. GMP - Good Modelling Practice: An essential component of Good Manufacturing Practice
5. Neural-network contributions in biotechnology
6. Induction of decision tress
7. Continuous process improvement through inductive and analogical learning
8. Fermentation database mining by pattern recognition
9. An approximate degrees of freedom solution to the multivariate Behrens-Fisher problem