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المؤلفون: Jonathan M. Keith, Christopher Oldmeadow
المصدر: Bioinformatics. 27:604-610
مصطلحات موضوعية: Primates, Statistics and Probability, Evolutionary landscape, Information Criteria, Biology, Machine learning, computer.software_genre, Biochemistry, Evolution, Molecular, Mice, symbols.namesake, Statistics, Animals, Computer Simulation, Molecular Biology, Selection (genetic algorithm), Models, Statistical, Multiple sequence alignment, business.industry, Model selection, Computational Biology, Bayes Theorem, Markov chain Monte Carlo, DNA, Genomics, Sequence Analysis, DNA, Computer Science Applications, Deviance information criterion, Computational Mathematics, Computational Theory and Mathematics, Binary classification, symbols, Artificial intelligence, business, Sequence Alignment, computer, Algorithms
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db2898a36cde9b64e7366a59afe2d410
https://doi.org/10.1093/bioinformatics /btq716 -
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المؤلفون: Douglas B. Kell, Bayu Jayawardhana, Magnus Rattray
المساهمون: Engineering and Technology Institute Groningen
المصدر: Bioinformatics, 24(9), 1191-1197. Oxford University Press
مصطلحات موضوعية: Statistics and Probability, Proteome, GLYCOLYSIS, Population, Inference, Biology, Bayesian inference, Models, Biological, Sensitivity and Specificity, Biochemistry, Pattern Recognition, Automated, symbols.namesake, Artificial Intelligence, MODE-OF-ACTION, Statistics, Computer Simulation, YEAST, Hidden Markov model, education, PHARMACOLOGY, Molecular Biology, GENE-EXPRESSION, education.field_of_study, Markov chain, Estimation theory, Reproducibility of Results, Experimental data, Bayes Theorem, Markov chain Monte Carlo, CANCER, Markov Chains, Computer Science Applications, INDUCED HAPLOINSUFFICIENCY, DRUG DISCOVERY, Computational Mathematics, Computational Theory and Mathematics, Data Interpretation, Statistical, SYSTEMS BIOLOGY, symbols, BIOACTIVE COMPOUNDS, Biological system, Monte Carlo Method, Algorithms, Software, Signal Transduction
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fe06057a01478e84d4ee946a800af52
https://research.rug.nl/en/publications/f78908b0-c4cf-42fe-8145-98d487ce6c6a -
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المؤلفون: King C.P. Li, Stephen T. C. Wong, Xiaobo Zhou, Lixiu Yao, Honghui Wang, Yuan Wang
المصدر: Bioinformatics
ISMBمصطلحات موضوعية: Statistics and Probability, Computer science, Noise reduction, Monte Carlo method, Mass spectrometry, Bayesian inference, Biochemistry, Pattern Recognition, Automated, symbols.namesake, Ismb 2008 Conference Proceedings 19–23 July 2008, Toronto, Artificial Intelligence, Statistics, Computer Simulation, Sensitivity (control systems), Molecular Biology, Models, Statistical, Markov chain, business.industry, Pattern recognition, Markov chain Monte Carlo, Mixture model, Original Papers, Markov Chains, Computer Science Applications, Computational Mathematics, Computational Theory and Mathematics, Bioinformatics of Disease, Models, Chemical, Data Interpretation, Statistical, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, symbols, Artificial intelligence, business, Monte Carlo Method
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6bf89ea5221d52715d86955b0e7f18a
http://europepmc.org/articles/PMC2718621