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» Predicting protein functions with message passing algorithms
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RECOMB
2005
Springer
15 years 10 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
BMCBI
2007
143views more  BMCBI 2007»
14 years 9 months ago
RNAspa: a shortest path approach for comparative prediction of the secondary structure of ncRNA molecules
Background: In recent years, RNA molecules that are not translated into proteins (ncRNAs) have drawn a great deal of attention, as they were shown to be involved in many cellular ...
Yair Horesh, Tirza Doniger, Shulamit Michaeli, Ron...
BMCBI
2010
174views more  BMCBI 2010»
14 years 9 months ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
PPDP
2009
Springer
15 years 4 months ago
Session types for linear multithreaded functional programming
The construction of reliable concurrent and distributed systems is an extremely difficult endeavour. For complex systems, it requires modular development strategies based on prec...
Vasco Thudichum Vasconcelos
EUROGP
2005
Springer
15 years 3 months ago
Evolving L-Systems to Capture Protein Structure Native Conformations
Abstract. A protein is a linear chain of amino acids that folds into a unique functional structure, called its native state. In this state, proteins show repeated substructures lik...
Gabi Escuela, Gabriela Ochoa, Natalio Krasnogor