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» A graphical model for protein secondary structure prediction
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BMCBI
2007
154views more  BMCBI 2007»
13 years 6 months ago
Inferring biological networks with output kernel trees
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
Pierre Geurts, Nizar Touleimat, Marie Dutreix, Flo...
ICW
2005
IEEE
160views Communications» more  ICW 2005»
13 years 12 months ago
BAP Sparsing: A Novel Approach to MPEG-4 Body Animation Parameter Compression
The MPEG-4 standard includes support not only for natural video and audio, but also for synthetic graphics and sounds. In the MPEG-4 specifications, Body Animation Parameters (BAP...
Siddhartha Chattopadhyay, Suchendra M. Bhandarkar,...
BMCBI
2010
113views more  BMCBI 2010»
13 years 6 months ago
Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse
Background: Predicting metabolic sites is important in the drug discovery process to aid in rapid compound optimisation. No interactive tool exists and most of the useful tools ar...
Lars Carlsson, Ola Spjuth, Samuel Adams, Robert C....
PG
2000
IEEE
13 years 10 months ago
Dynamic PDE Surfaces with Flexible and General Geometric Constraints
PDE surfaces, whose behavior is governed by Partial Differential Equations (PDEs), have demonstrated many modeling advantages in surface blending, free-form surface modeling, and ...
Haixia Du, Hong Qin
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 6 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori