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» Sensitivity estimates from characteristic functions
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KAIS
2008
221views more  KAIS 2008»
13 years 7 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
BMCBI
2007
119views more  BMCBI 2007»
13 years 8 months ago
A dynamic programming approach for the alignment of signal peaks in multiple gas chromatography-mass spectrometry experiments
Background: Gas chromatography-mass spectrometry (GC-MS) is a robust platform for the profiling of certain classes of small molecules in biological samples. When multiple samples ...
Mark D. Robinson, David P. De Souza, Woon Wai Keen...
ASPLOS
2006
ACM
13 years 11 months ago
Efficiently exploring architectural design spaces via predictive modeling
Architects use cycle-by-cycle simulation to evaluate design choices and understand tradeoffs and interactions among design parameters. Efficiently exploring exponential-size desig...
Engin Ipek, Sally A. McKee, Rich Caruana, Bronis R...
ALMOB
2006
155views more  ALMOB 2006»
13 years 8 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
AMC
2006
67views more  AMC 2006»
13 years 8 months ago
A general probabilistic model of the PCR process
Earlier work by Saha et al. rigorously derived a general probabilistic model for the PCR process that includes as a special case the Velikanov-Kapral model where all nucleotide re...
Nilanjan Saha, Layne T. Watson, Karen Kafadar, Ale...