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BMCBI
2008
160views more  BMCBI 2008»
15 years 6 months ago
A method for analyzing censored survival phenotype with gene expression data
Background: Survival time is an important clinical trait for many disease studies. Previous works have shown certain relationship between patients' gene expression profiles a...
Tongtong Wu, Wei Sun, Shinsheng Yuan, Chun-Houh Ch...
BMCBI
2010
110views more  BMCBI 2010»
15 years 6 months ago
Towards the systematic discovery of signal transduction networks using phosphorylation dynamics data
Background: Phosphorylation is a ubiquitous and fundamental regulatory mechanism that controls signal transduction in living cells. The number of identified phosphoproteins and th...
Haruna Imamura, Nozomu Yachie, Rintaro Saito, Yasu...
BMCBI
2010
91views more  BMCBI 2010»
15 years 6 months ago
Algorithm-driven Artifacts in median polish summarization of Microarray data
Background: High-throughput measurement of transcript intensities using Affymetrix type oligonucleotide microarrays has produced a massive quantity of data during the last decade....
Federico M. Giorgi, Anthony M. Bolger, Marc Lohse,...
CORR
2006
Springer
112views Education» more  CORR 2006»
15 years 6 months ago
Pull-Based Data Broadcast with Dependencies: Be Fair to Users, not to Items
Broadcasting is known to be an efficient means of disseminating data in wireless communication environments (such as Satellite, mobile phone networks,...). It has been recently ob...
Julien Robert, Nicolas Schabanel
ICML
2008
IEEE
16 years 7 months ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr