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» Simulation of microarray data with realistic characteristics
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BMCBI
2006
94views more  BMCBI 2006»
13 years 5 months ago
Simulation of microarray data with realistic characteristics
Background: Microarray technologies have become common tools in biological research. As a result, a need for effective computational methods for data analysis has emerged. Numerou...
Matti Nykter, Tommi Aho, Miika Ahdesmäki, Pek...
ALIFE
2008
13 years 4 months ago
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data
The development of structure-learning algorithms for gene regulatory networks depends heavily on the availability of synthetic data sets that contain both the original network and ...
Koenraad Van Leemput, Tim Van den Bulcke, Thomas D...
CORR
2007
Springer
138views Education» more  CORR 2007»
13 years 5 months ago
On the Performance Evaluation of Encounter-based Worm Interactions Based on Node Characteristics
An encounter-based network is a frequently-disconnected wireless ad-hoc network requiring nearby neighbors to store and forward data utilizing mobility and encounters over time. U...
Sapon Tanachaiwiwat, Ahmed Helmy
SIGGRAPH
1996
ACM
13 years 9 months ago
A Model of Visual Adaptation for Realistic Image Synthesis
In this paper we develop a computational model of visual adaptation for realistic image synthesis based on psychophysical experiments. The model captures the changes in threshold ...
James A. Ferwerda, Sumanta N. Pattanaik, Peter Shi...
BMCBI
2008
159views more  BMCBI 2008»
13 years 5 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...