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ISMB
1996
13 years 9 months ago
Gene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model
We have developed a hidden Markov model (HMM)to detect the protein coding regions within one megabase contiguous sequence data, registered in a database called GenBankin eight ent...
Tetsushi Yada, Makoto Hirosawa
TVCG
2011
138views more  TVCG 2011»
13 years 3 months ago
Shape: A 3D Modeling Tool for Astrophysics
—We present a flexible interactive 3D morpho-kinematical modeling application for astrophysics. Compared to other systems, our application reduces the restrictions on the physic...
Wolfgang Steffen, Nicholas Koning, Stephan Wenger,...
PROCEDIA
2010
87views more  PROCEDIA 2010»
13 years 7 months ago
Forecast sensitivity to the observation error covariance in variational data assimilation
The development of the adjoint of the forecast model and of the adjoint of the data assimilation system (adjoint-DAS) make feasible the evaluation of the derivative-based forecast...
Dacian N. Daescu
TITB
2010
83views Education» more  TITB 2010»
13 years 3 months ago
Universal glucose models for predicting subcutaneous glucose concentration in humans
This paper tests the hypothesis that a "universal," data-driven model can be developed based on glucose data from one diabetic subject, and subsequently applied to predic...
Adiwinata Gani, Andrei V. Gribok, Yinghui Lu, W. K...
BIOINFORMATICS
2005
109views more  BIOINFORMATICS 2005»
13 years 8 months ago
Prediction error estimation: a comparison of resampling methods
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
Annette M. Molinaro, Richard Simon, Ruth M. Pfeiff...