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BMCBI
2005
122views more  BMCBI 2005»
14 years 9 months ago
A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
Background: Elucidating the dynamic behaviour of genetic regulatory networks is one of the most significant challenges in systems biology. However, conventional quantitative predi...
Katsuyuki Yugi, Yoichi Nakayama, Shigen Kojima, To...
BMCBI
2005
161views more  BMCBI 2005»
14 years 9 months ago
Non-linear mapping for exploratory data analysis in functional genomics
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
Francisco Azuaje, Haiying Wang, Alban Chesneau
BMCBI
2008
134views more  BMCBI 2008»
14 years 9 months ago
Identification of transcription factor contexts in literature using machine learning approaches
Background: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While man...
Hui Yang, Goran Nenadic, John A. Keane
BMCBI
2006
109views more  BMCBI 2006»
14 years 9 months ago
iHOPerator: user-scripting a personalized bioinformatics Web, starting with the iHOP website
Background: User-scripts are programs stored in Web browsers that can manipulate the content of websites prior to display in the browser. They provide a novel mechanism by which u...
Benjamin M. Good, Edward A. Kawas, Byron Yu-Lin Ku...
BMCBI
2006
130views more  BMCBI 2006»
14 years 9 months ago
MicroTar: predicting microRNA targets from RNA duplexes
Background: The accurate prediction of a comprehensive set of messenger RNAs (targets) regulated by animal microRNAs (miRNAs) remains an open problem. In particular, the predictio...
Rahul Thadani, Martti T. Tammi