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2018 52nd Asilomar Conference on Signals, Systems, and Computers, ISSN 1058-6393, 10/2018, Volume 2018-, pp. 1357 - 1361
High throughput technologies have become the practice of choice for comparative studies in biomedical applications. Limited number of sample points due to... 
Training | Sequential analysis | Uncertainty | Computational modeling | controlled sampling | RNA-Seq | MCMC | Sampling methods | Bayes methods | Mathematical model | optimal Bayesian classification
Conference Proceeding
Pattern Recognition, ISSN 0031-3203, 11/2015, Volume 48, Issue 11, pp. 3766 - 3782
When in possession of prior knowledge concerning the feature-label distribution, in particular, when it is known that the feature-label distribution belongs to... 
Prior knowledge | Controlled sampling | Optimal Bayesian classifier | MEAN-SQUARE ERROR | PERFORMANCE | KNOWLEDGE | MINIMUM EXPECTED ERROR | ESTIMATOR | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | GAUSSIAN MODELS | PROBABILITY | OPTIMAL CLASSIFIERS | FRAMEWORK | MISCLASSIFICATION
Journal Article
07/2018
High throughput technologies have become the practice of choice for comparative studies in biomedical applications. Limited number of sample points due to... 
Journal Article
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 12/2015, pp. 1145 - 1149
RNA-Seq has become an important alternative to microarrays in transcriptomic studies. The unique features of count-based RNA-Seq data pose new challenges for... 
coherent expression | length bias | Conferences | RNA-Seq | Liver | Information processing | likelihood-ratio test | pathway | Gene expression | Dispersion | Kidney | differential expression analysis | Pathways | Mathematical analysis | Genes | Bias | Likelihood ratio | Data processing | Computer programs
Conference Proceeding
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