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» A Functional Model for Data Analysis
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JCNS
2010
104views more  JCNS 2010»
15 years 5 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
216
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GLOBECOM
2007
IEEE
15 years 8 months ago
Polynomial Regression for Data Gathering in Environmental Monitoring Applications
- How to prolong the lifetime of wireless sensor networks is one of the most important design issues. In order to tackle this issue, we propose an energy-efficient polynomial regre...
Guojun Wang, Jiannong Cao, Huan Wang, Minyi Guo
BMCBI
2006
86views more  BMCBI 2006»
15 years 6 months ago
The impact of sample imbalance on identifying differentially expressed genes
Background: Recently several statistical methods have been proposed to identify genes with differential expression between two conditions. However, very few studies consider the p...
Kun Yang, Jianzhong Li, Hong Gao
VIS
2003
IEEE
121views Visualization» more  VIS 2003»
16 years 8 months ago
Hierarchical Clustering for Unstructured Volumetric Scalar Fields
We present a method to represent unstructured scalar fields at multiple levels of detail. Using a parallelizable classification algorithm to build a cluster hierarchy, we generate...
Christopher S. Co, Bjørn Heckel, Hans Hagen...
BMCBI
2007
86views more  BMCBI 2007»
15 years 7 months ago
Toxicogenomic analysis incorporating operon-transcriptional coupling and toxicant concentration-expression response: analysis of
Background: Deficiencies in microarray technology cause unwanted variation in the hybridization signal, obscuring the true measurements of intracellular transcript levels. Here we...
William O. Ward, Carol D. Swartz, Steffen Porwolli...