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BMCBI
2010
144views more  BMCBI 2010»
13 years 7 months ago
Finding sRNA generative locales from high-throughput sequencing data with NiBLS
Background: Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the seque...
Daniel MacLean, Vincent Moulton, David J. Studholm...
BMCBI
2007
215views more  BMCBI 2007»
13 years 7 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
FPGA
2004
ACM
174views FPGA» more  FPGA 2004»
14 years 26 days ago
A compiled accelerator for biological cell signaling simulations
The simulation of large systems of biochemical reactions is a key part of research into molecular signaling and information processing in biological cells. However, it can be impr...
John F. Keane, Christopher Bradley, Carl Ebeling
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 8 days ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
BMCBI
2010
233views more  BMCBI 2010»
13 years 7 months ago
Odefy -- From discrete to continuous models
Background: Phenomenological information about regulatory interactions is frequently available and can be readily converted to Boolean models. Fully quantitative models, on the ot...
Jan Krumsiek, Sebastian Pölsterl, Dominik M. ...