Sciweavers

181 search results - page 35 / 37
» Reverse Engineering Method Stereotypes
Sort
View
ALMOB
2006
113views more  ALMOB 2006»
13 years 5 months ago
Inverse bifurcation analysis: application to simple gene systems
Background: Bifurcation analysis has proven to be a powerful method for understanding the qualitative behavior of gene regulatory networks. In addition to the more traditional for...
James Lu, Heinz W. Engl, Peter Schuster
BMCBI
2010
135views more  BMCBI 2010»
13 years 5 months ago
Delineation of amplification, hybridization and location effects in microarray data yields better-quality normalization
Background: Oligonucleotide arrays have become one of the most widely used high-throughput tools in biology. Due to their sensitivity to experimental conditions, normalization is ...
Marc Hulsman, Anouk Mentink, Eugene P. van Someren...
BMCBI
2007
114views more  BMCBI 2007»
13 years 5 months ago
Large scale statistical inference of signaling pathways from RNAi and microarray data
Background: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray tec...
Holger Fröhlich, Mark Fellmann, Holger Sü...
BMCBI
2010
172views more  BMCBI 2010»
13 years 5 months ago
Comparison of evolutionary algorithms in gene regulatory network model inference
Background: The evolution of high throughput technologies that measure gene expression levels has created a data base for inferring GRNs (a process also known as reverse engineeri...
Alina Sîrbu, Heather J. Ruskin, Martin Crane
SASN
2006
ACM
13 years 11 months ago
Diversify sensor nodes to improve resilience against node compromise
A great challenge in securing sensor networks is that sensor nodes can be physically compromised. Once a node is compromised, attackers can retrieve secret information (e.g. keys)...
Abdulrahman Alarifi, Wenliang Du