Computational Models For Life Sciences (CMLS '07): 2007 International Symposium on Computational Models of Life SciencesTuan D. Pham, Xiaobo Zhou This conference proceedings text features research papers that address novel applications of computer, physical, engineering and mathematical models for solving modern challenging problems in life sciences. All the papers, presented at the Computational Models for Life Sciences conference held in 2007, have been peer-reviewed. They cover a huge range of topics, including image analysis, computer vision, and pattern analysis and classification, among many others. |
Contents
Towards Fully Automated Identification of VesicleMembrane Fusion | 3 |
Computational Graph Model for 3D Cells Tracking in Zebra Fish | 11 |
Segmentation and Reconstruction of Cultured Neuron Skeleton | 21 |
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2007 American Institute 2007 International Symposium actin algorithm alignment analysis approach Australia barrel protein bicluster Bioinformatics biological brain cell cycle cell image chromosome classifiers cluster cofilin components Computational Models CT images CtrA dataset defined dendrite edited by T. D. ENZYME existing phenotypes extraction Figure fractal dimension function gene expression genetic genotypes graph IEEE ILUGA interaction International Symposium edited kernel Learn++.MT Leishmania level set LRRK2 Lyapunov exponent method microarray mRNA neuron niche node nuclei obtained optimal optimisation p-value pair parameters pathway peak detection peak tree performance phenotype pixel prediction accuracy proposed protein pulse waves random receptor region ridge RNA silencing rough set sample Sciences-CMLS 07 SCOP secondary structure segmentation sequence shown signal similar simulation skeleton spine stochastic structural points subtypes support vector machines support vectors T. D. Pham Table technique threshold TIM barrel transgene vertices wavelet