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BMCBI
2010
135views more  BMCBI 2010»
15 years 6 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
2010
172views more  BMCBI 2010»
15 years 6 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
BMCBI
2010
156views more  BMCBI 2010»
15 years 6 months ago
Estimating the individualized HIV-1 genetic barrier to resistance using a nelfinavir fitness landscape
Background: Failure on Highly Active Anti-Retroviral Treatment is often accompanied with development of antiviral resistance to one or more drugs included in the treatment. In gen...
Kristof Theys, Koen Deforche, Gertjan Beheydt, Yve...
BMCBI
2007
114views more  BMCBI 2007»
15 years 6 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
2008
166views more  BMCBI 2008»
15 years 6 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf