Germinate 发表于 2025-3-30 09:15:12
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 obseGeyser 发表于 2025-3-30 13:37:23
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 发表于 2025-3-30 20:24:04
http://reply.papertrans.cn/19/1872/187171/187171_53.pngNICHE 发表于 2025-3-30 20:52:09
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痛苦一生 发表于 2025-3-31 04:38:27
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