Linking the genes: Inferring quantitative gene networks from microarray data

Trends in Genetics

Volumn 18, Issue 8, 2002, Pages 395-398

  De La Fuente, Alberto ^a   Brazhnik, Paul ^a   Mendes, Pedro ^a  

^a VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONTROLLED STUDY; DNA MICROARRAY; GENE EXPRESSION; GENE IDENTIFICATION; GENE TECHNOLOGY; GENETIC LINKAGE; NONHUMAN; PRIORITY JOURNAL; QUANTITATIVE GENETICS; THEORETICAL MODEL;

EID: 0036683181     PISSN: 01689525     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-9525(02)02692-6     Document Type: Review

References (40)

1. Genetic network inference: From co-expression clustering to reverse engineering
2. DNA supercoiling in Escherichia coli is under tight and subtle homeostatic control, involving gene-expression and metabolic regulation of both topoisomerase I and DNA gyrase
3. Exploring the metabolic and genetic control of gene expression on a genomic scale
4. Genome-wide expression monitoring in Saccharomyces cerevisiae
5. The transcriptional program of sporulation in budding yeast
6. Dissecting the regulatory circuitry of a eukaryotic genome
7. DNA microarrays for studies of higher plants and other photosynthetic organisms
8. Systematic variation in gene expression patterns in human cancer cell lines
9. High-density microarray-mediated gene expression profiling of Escherichia coli
10. The control of flux
11. A linear steady-state treatment of enzymatic chains. General properties, control and effector strength
12. Taking enzyme kinetics out of control - Putting control into regulation
13. Co-response analysis: A new experimental strategy for metabolic control analysis
14. The regulatory strength: How to be precise about regulation and homeostasis
15. Metabolic control analysis - A survey of its theoretical and experimental development
16. Metabolic regulation: A control analytic perspective
17. Metabolic control analysis in biotechnology and medicine
18. 2 easy steps
19. Genetic control of flower morphogenesis in Arabidopsis thaliana: A logical analysis
20. GEPASI: A software package for modelling the dynamics, steady states and control of biochemical and other systems
21. Biochemistry by numbers: Simulation of biochemical pathways with GEPASI 3
22. Non-linear optimization of biochemical pathways: Applications to metabolic engineering and parameter estimation
23. REVEAL, a general reverse engineering algorithm for inference of genetic network architectures
24. Algorithms for identifying Boolean networks and related biological networks based on matrix multiplication and fingerprint function
25. Discovery of regulatory interactions through perturbation: Inference and experimental design
26. Homeostasis and differentiation in random genetic control networks
27. Boolean formalization of genetic control circuits
28. Dynamic modeling of gene expression data
29. Quantitative modeling of gene regulatory network: Identifying the network by means of genetic algorithm
30. Coarse-grained reverse engineering of genetic regulatory networks
31. Development of a system for the inference of large scale genetic networks
32. Modeling large scale biological systems from functional genomic data: Parameter estimation
33. The DBRF method for inferring a gene network from large-scale steady-state gene expression data
34. Metabolic control analysis as a tool in the elucidation of the function of novel genes
35. A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations
36. Functional genomics. Silent genes given voice