EPISTEMOLOGY OF COMPUTATIONAL BIOLOGY: MATHEMATICAL MODELS AND EXPERIMENTAL PREDICTION AS THE BASIS OF THEIR VALIDITY
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Publication:5468611
DOI10.1142/S0218339006001726zbMath1099.92001WikidataQ113777225 ScholiaQ113777225MaRDI QIDQ5468611
Ulisses M. Braga-Neto, Edward R. Dougherty
Publication date: 10 May 2006
Published in: Journal of Biological Systems (Search for Journal in Brave)
classificationclusteringerror estimationphilosophy of sciencecomputational biologyepistemologyregulatory networks
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Related Items (3)
Model-based evaluation of clustering validation measures ⋮ Editorial: Statistical genetics \& statistical genomics: where biology, epistemology, statistics, and computation collide ⋮ On the sampling distribution of resubstitution and leave-one-out error estimators for linear classifiers
Cites Work
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- Construction of genomic networks using mutual-information clustering and reversible-jump Markov-chain-Monte-Carlo predictor design
- External control in Markovian genetic regulatory networks
- A probabilistic theory of clustering
- Exact performance of error estimators for discrete classifiers
- On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
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