Computational Models For Life Sciences (CMLS '07): 2007 International Symposium on Computational Models of Life Sciences
Tuan D. Pham, Xiaobo Zhou
American Inst. of Physics, Nov 26, 2007 - Computers - 362 pages
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.
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Towards Fully Automated Identification of VesicleMembrane Fusion
Computational Graph Model for 3D Cells Tracking in Zebra Fish
Segmentation and Reconstruction of Cultured Neuron Skeleton
34 other sections not shown
2007 American Institute 2007 International Symposium actin algorithm alignment analysis approach Australia barrel protein bicluster Bioinformatics biological brain cancer cell cycle cell image chromosome classifiers cluster cofilin components Computational Models CT images CtrA dataset defined dendrite edited by T. D. ENZYME equation existing phenotypes extraction Figure fractal dimension function gene expression genetic genotypes graph IEEE ILUGA interaction International Symposium edited kernel Leishmania level set LRRK2 Lyapunov exponent method microarray mRNA neuron niche node nuclei obtained optimal optimisation 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 secondary structure segmentation sequence signal similar simulated annealing simulation skeleton spine stochastic structural points subtypes support vector machines support vectors T. D. Pham Table technique threshold transgene vertices voxel wavelet Zhou