Titlebook: Bioinformatics Research and Applications; 12th International S Anu Bourgeois,Pavel Skums,Alex Zelikovsky Conference proceedings 2016 Spring

Germinate

Predicting MicroRNA-Disease Associations by Random Walking on Multiple Networksvious researches have verified that the deregulations of microRNA are closely associated with human disease. However it is still a big challenge to design an effective computational method which can integrate multiple biological information to predict microRNA-disease associations. Based on the obse

Geyser

Progression Reconstruction from Unsynchronized Biological Data using Cluster Spanning Trees interactions. It is also valuable in many applied problems such as data denoising and synchronization, tumor classification and cell lineage identification. Current methods that attempt solving this problem are ultimately based either on polynomial and piece-wise approximation of the unknown genera

骚扰

NICHE

A Multiagent , Protein Structure Prediction Tool for Novices and Experts the importance of predicting a proteins 3-D conformation. We propose GMASTERS, a multiagent tool to address the protein structure prediction (PSP) problem. GMASTERS is a general-purpose . graphical program based on cooperative agents that explore the protein conformational space using Monte Carlo a

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