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BMCBI
2004
185views more  BMCBI 2004»
13 years 4 months ago
Linear fuzzy gene network models obtained from microarray data by exhaustive search
Background: Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole cellular genome...
Bahrad A. Sokhansanj, J. Patrick Fitch, Judy N. Qu...
BIOINFORMATICS
2006
118views more  BIOINFORMATICS 2006»
13 years 4 months ago
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrenc...
ECAI
2006
Springer
13 years 8 months ago
Benefits of Combinatorial Auctions with Transformability Relationships
In this paper we explore whether an auctioneer/buyer may benefit from introducing his transformability relationships (some goods can be transformed into others at a transformation ...
Andrea Giovannucci, Jesús Cerquides, Juan A...
APIN
2000
116views more  APIN 2000»
13 years 4 months ago
Application of Cascade Correlation Networks for Structures to Chemistry
Abstract. We present the application of Cascade Correlation for structures to QSPR (quantitative structureproperty relationships) and QSAR (quantitative structure-activity relation...
Anna Maria Bianucci, Alessio Micheli, Alessandro S...
BMCBI
2010
160views more  BMCBI 2010»
13 years 5 months ago
Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53
Background: The availability of various "omics" datasets creates a prospect of performing the study of genomewide genetic regulatory networks. However, one of the major ...
Junbai Wang, Tianhai Tian