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» Using a logical model to predict the growth of yeast
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BMCBI
2010
118views more  BMCBI 2010»
13 years 6 months ago
Predicting nucleosome positioning using a duration Hidden Markov Model
Background: The nucleosome is the fundamental packing unit of DNAs in eukaryotic cells. Its detailed positioning on the genome is closely related to chromosome functions. Increasi...
Liqun Xi, Yvonne Fondufe-Mittendorf, Lei Xia, Jare...
BIBM
2008
IEEE
175views Bioinformatics» more  BIBM 2008»
14 years 1 months ago
Integrative Protein Function Transfer Using Factor Graphs and Heterogeneous Data Sources
We propose a novel approach for predicting protein functions of an organism by coupling sequence homology and PPI data between two (or more) species with multifunctional Gene Onto...
Antonina Mitrofanova, Vladimir Pavlovic, Bud Mishr...
ITC
2003
IEEE
127views Hardware» more  ITC 2003»
13 years 12 months ago
Using Logic Models To Predict The Detection Behavior Of Statistical Timing Defects
In this paper, we study the possibility of using logic defect-level prediction models to predict the detection behavior of statistical timing defects. We compare two known logic m...
Li-C. Wang, Angela Krstic, Leonard Lee, Kwang-Ting...
TSE
2002
96views more  TSE 2002»
13 years 6 months ago
Better Reliability Assessment and Prediction through Data Clustering
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
Jeff Tian
ISSRE
2003
IEEE
13 years 12 months ago
Using a Log-normal Failure Rate Distribution for Worst Case Bound Reliability Prediction
Prior research has suggested that the failure rates of faults follow a log normal distribution. We propose a specific model where distributions close to a log normal arise natural...
Peter G. Bishop, Robin E. Bloomfield