Pattern Analysis in Branching and Axillary Flowering Sequences Export

@article{citeulike:477521, abstract = {In the architectural approach to the study of plants, a major issue is to analyse branching and axillary flowering patterns. Due to the structured expression of the branching process and the noisy character of the observed patterns, we propose an analysis framework which is both structural and probabilistic. Data take the form of sequences which naturally represent the underlying structural information of branching and axillary flowering patterns and allow the application of a large number of methods ranging from exploratory analysis to stochastic modeling. The primary aim of the proposed analysis methods is to reveal patterns not directly apparent in the data, and thus to deepen our biological understanding of the underlying mechanisms that control the branching and the axillary flowering of plants over time and space. The proposed approach is illustrated using a set of examples corresponding to different plant species and different biological or agronomic objectives.}, author = {Gu\'{e}don, Y. and Barth\'{e}l\'{e}my, D. and Caraglio, Y. and Costes, E.}, citeulike-article-id = {477521}, citeulike-linkout-0 = {http://dx.doi.org/10.1006/jtbi.2001.2392}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0022519301923926}, citeulike-linkout-2 = {http://www.sciencedirect.com/science/article/B6WMD-457VD89-43/2/e27703c725a39fba3101655ac99b5543}, comment = {On p. 482, 3rd paragraph, "It is therefore impossible to build realistic mechanistic models on the basis of these observed sequences". Need to consider sequences + biomechanical data to get a mechanically realistic model. ---=note-separator=--- This paper contains examples of how to do statistical exploration of the sequences stored in an MTG. ---=note-separator=--- Descriptions of the zones that occur in the sequences. ---=note-separator=--- Includes a description of how the sequences are characterised by hidden semi-Markov chains. ---=note-separator=--- The appendices contain an introduction to Markovian Models}, day = {21}, doi = {10.1006/jtbi.2001.2392}, journal = {Journal of Theoretical Biology}, keywords = {apple, apricot, cyprus, markov\_chains, mtg, statistics, vanilla}, month = {October}, number = {4}, pages = {481--520}, posted-at = {2006-01-23 10:40:41}, priority = {0}, title = {Pattern Analysis in Branching and Axillary Flowering Sequences}, url = {http://dx.doi.org/10.1006/jtbi.2001.2392}, volume = {212}, year = {2001} }

TY - JOUR ID - citeulike:477521 L3 - citeulike-article-id:477521 N2 - In the architectural approach to the study of plants, a major issue is to analyse branching and axillary flowering patterns. Due to the structured expression of the branching process and the noisy character of the observed patterns, we propose an analysis framework which is both structural and probabilistic. Data take the form of sequences which naturally represent the underlying structural information of branching and axillary flowering patterns and allow the application of a large number of methods ranging from exploratory analysis to stochastic modeling. The primary aim of the proposed analysis methods is to reveal patterns not directly apparent in the data, and thus to deepen our biological understanding of the underlying mechanisms that control the branching and the axillary flowering of plants over time and space. The proposed approach is illustrated using a set of examples corresponding to different plant species and different biological or agronomic objectives. IS - 4 JF - Journal of Theoretical Biology EP - 520 TI - Pattern Analysis in Branching and Axillary Flowering Sequences VL - 212 SP - 481 KW - apple KW - apricot KW - cyprus KW - markov_chains KW - mtg KW - statistics KW - vanilla N1 - On p. 482, 3rd paragraph, "It is therefore impossible to build realistic mechanistic models on the basis of these observed sequences". Need to consider sequences + biomechanical data to get a mechanically realistic model. N1 - This paper contains examples of how to do statistical exploration of the sequences stored in an MTG. N1 - Descriptions of the zones that occur in the sequences. N1 - Includes a description of how the sequences are characterised by hidden semi-Markov chains. N1 - The appendices contain an introduction to Markovian Models AU - Guédon, Y AU - Barthélémy, D AU - Caraglio, Y AU - Costes, E PY - 2001/10/21/ UR - http://dx.doi.org/10.1006/jtbi.2001.2392 ER -