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BMCBI
2006
92views more  BMCBI 2006»
15 years 6 months ago
Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays
Background: Genetic markers hold great promise for refining our ability to establish precise prognostic prediction for diseases. The development of comprehensive gene expression m...
Shigeyuki Matsui
ISCAS
2005
IEEE
191views Hardware» more  ISCAS 2005»
16 years 9 days ago
Behavioural modeling and simulation of a switched-current phase locked loop
Recent work has shown that the use of switched current methods can provide an effective route to implementation of analog IC functionality using a standard digital CMOS process. Fu...
Peter R. Wilson, Reuben Wilcock
IJHPCA
2008
75views more  IJHPCA 2008»
15 years 6 months ago
Towards Ultra-High Resolution Models of Climate and Weather
We present a speculative extrapolation of the performance aspects of an atmospheric general circulation model to ultra-high resolution and describe alternative technological paths...
Michael F. Wehner, Leonid Oliker, John Shalf
EJASP
2010
132views more  EJASP 2010»
15 years 1 months ago
Uncovering Transcriptional Regulatory Networks by Sparse Bayesian Factor Model
The problem of uncovering transcriptional regulation by transcription factors (TFs) based on microarray data is considered. A novel Bayesian sparse correlated rectified factor mod...
Jia Meng, Jianqiu Zhang, Yuan (Alan) Qi, Yidong Ch...
ACII
2011
Springer
14 years 6 months ago
Predicting Facial Indicators of Confusion with Hidden Markov Models
Affect plays a vital role in learning. During tutoring, particular affective states may benefit or detract from student learning. A key cognitiveaffective state is confusion, which...
Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Jame...