Probabilistic methods in cancer biology

DOI10.3166/ejc.17.483-511zbMath1388.92005OpenAlexW2001093852MaRDI QIDQ693685

Mathukumalli Vidyasagar

Publication date: 8 December 2012

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3166/ejc.17.483-511

zbMATH Keywords

Bayesian networksMarkov chainsmutual informationrandom walkdata processing inequalitycancer biologypage rank algorithmstatistical significance analysis

Mathematics Subject Classification ID

Multivariate analysis (62H99) Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Bayesian inference (62F15) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Related Items (1)

Robust control of temperature during local hyperthermia of cancerous tumors

Uses Software

• GSA

Cites Work

• Identification of regulatory network motifs from gene expression data
• Inferring stable genetic networks from steady-state data
• On testing the significance of sets of genes
• A multivariate Kolmogorov-Smirnov test of goodness of fit
• Statistical methods in bioinformatics. An introduction.
• Learning and generalisation. With applications to neural networks.
• Non-negative matrices and Markov chains.
• Significance analysis of microarrays applied to the ionizing radiation response
• Distributed Randomized Algorithms for the PageRank Computation
• Elements of Information Theory
• Approximating discrete probability distributions with dependence trees
• Markov Random Fields and Gibbs Ensembles
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