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» Analysis techniques for microarray time-series data
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PERCOM
2011
ACM
13 years 11 days ago
On-body device localization for health and medical monitoring applications
—We present a technique to discover the position of sensors on the human body. Automatic on-body device localization ensures correctness and accuracy of measurements in health an...
Alireza Vahdatpour, Navid Amini, Majid Sarrafzadeh
NCA
2002
IEEE
13 years 8 months ago
The Construction of Smooth Models using Irregular Embeddings Determined by a Gamma Test Analysis
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...
WSC
2007
13 years 11 months ago
Statistical analysis of simulation output: state of the art
This paper reviews statistical methods for analyzing output data from computer simulations. Specifically, it focuses on the estimation of steady-state system parameters. The esti...
Christos Alexopoulos
IV
2008
IEEE
109views Visualization» more  IV 2008»
14 years 3 months ago
Visualization of Gene Combinations
Advances in the field of microarray technology have attracted a lot of attention in the last years. More and more biological experiments are conducted based on microarrays. The c...
Christian Tominski, Heidrun Schumann
BMCBI
2006
203views more  BMCBI 2006»
13 years 8 months ago
Independent component analysis reveals new and biologically significant structures in micro array data
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...
Attila Frigyesi, Srinivas Veerla, David Lindgren, ...