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» Applying Discrete PCA in Data Analysis
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BMCBI
2006
205views more  BMCBI 2006»
13 years 7 months ago
Application of Petri net based analysis techniques to signal transduction pathways
Background: Signal transduction pathways are usually modelled using classical quantitative methods, which are based on ordinary differential equations (ODEs). However, some diffic...
Andrea Sackmann, Monika Heiner, Ina Koch
TKDE
2008
178views more  TKDE 2008»
13 years 7 months ago
Efficient Similarity Search over Future Stream Time Series
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
Xiang Lian, Lei Chen 0002
RECOMB
2002
Springer
14 years 7 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
IEEEVAST
2010
13 years 2 months ago
Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...
BMCBI
2006
151views more  BMCBI 2006»
13 years 7 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman