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MCS
2005
Springer
16 years 9 days ago
A Probability Model for Combining Ranks
Mixed Group Ranks is a parametric method for combining rank based classiers that is eective for many-class problems. Its parametric structure combines qualities of voting methods...
Ofer Melnik, Yehuda Vardi, Cun-Hui Zhang
BMCBI
2010
99views more  BMCBI 2010»
15 years 7 months ago
Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM)
Background: It has been apparent in the last few years that small non coding RNAs (ncRNA) play a very significant role in biological regulation. Among these microRNAs (miRNAs), 22...
Sumeet Agarwal, Candida Vaz, Alok Bhattacharya, As...
BMCBI
2007
127views more  BMCBI 2007»
15 years 7 months ago
Characterization and simulation of cDNA microarray spots using a novel mathematical model
Background: The quality of cDNA microarray data is crucial for expanding its application to other research areas, such as the study of gene regulatory networks. Despite the fact t...
Hye Young Kim, Seo Eun Lee, Min Jung Kim, Jin Il H...
BMCBI
2006
156views more  BMCBI 2006»
15 years 6 months ago
Bayesian models for pooling microarray studies with multiple sources of replications
Background: Biologists often conduct multiple but different cDNA microarray studies that all target the same biological system or pathway. Within each study, replicate slides with...
Erin M. Conlon, Joon J. Song, Jun S. Liu
ADCM
1998
132views more  ADCM 1998»
15 years 6 months ago
Numerical solution of generalized Lyapunov equations
Two e cient methods for solving generalized Lyapunov equations and their implementations in FORTRAN 77 are presented. The rst one is a generalization of the Bartels{Stewart method...
Thilo Penzl
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