An algorithm for molecular dissection of tumor progression

DOI10.1007/s00285-004-0297-zzbMath1080.92044OpenAlexW1973857648WikidataQ45879502 ScholiaQ45879502MaRDI QIDQ814953

N. E. Zubov

Publication date: 8 February 2006

Published in: Journal of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00285-004-0297-z

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Probabilistic models, generic numerical methods in probability and statistics (65C20) Medical applications (general) (92C50)

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Cites Work

• A quantitative genetic model for growth, shape, reaction norms, and other infinite-dimensional characters
• Generalized Character Process Models: Estimating the Genetic Basis of Traits That Cannot Be Observed and That Change with Age or Environmental Conditions
• The Fourth Dimension of Life: Fractal Geometry and Allometric Scaling of Organisms
• Functional Mapping of Quantitative Trait Loci Underlying Growth Trajectories Using a Transform-Both-Sides Logistic Model
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