Accounting for spot matching uncertainty in the analysis of proteomics data from two-dimensional gel electrophoresis

DOI10.1007/s13571-011-0016-xzbMath1230.92017OpenAlexW2019121759WikidataQ57709241 ScholiaQ57709241MaRDI QIDQ641803

Volodymyr Melnykov, Dan Nettleton, Ranjan Maitra

Publication date: 25 October 2011

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=1074&context=stat_las_pubs

zbMATH Keywords

EM algorithmMarkov chain Monte Carloobserved information matrixROC curvesGaussian mixture modelconditional point process simulationisoelectric pointsmolecular weights

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) Biochemistry, molecular biology (92C40) Numerical analysis or methods applied to Markov chains (65C40) Biophysics (92C05)

Related Items (1)

Finite mixture models and model-based clustering

Uses Software

• Pinnacle

Cites Work

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• Convergence of a stochastic approximation version of the EM algorithm
• The EM Algorithm and Extensions, 2E
• A stochastic approximation type EM algorithm for the mixture problem
• Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
• Numerical Issues in Statistical Computing for the Social Scientist
• An automated (Markov chain) Monte Carlo EM algorithm
• Bayesian alignment using hierarchical models, with applications in protein bioinformatics
• Nearest-Neighbour Markov Point Processes and Random Sets

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