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CLIME: a statistical method that estimates the loss/gain evolutionary history of human genes and cluster genes by virtue of shared evolutionary under a mixture of tree-structured hidden Markov models (tHMM).
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CLIC: a Bayesian statistical algorithm that expands an input functional gene set with addition genes sharing a similar co-expression pattern across many transcriptomic datasets with assigned weights.
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SODA: a forward-screening-backward-elimination procedure that conducts variable selection with both main and quadratic interaction terms for logistic regression and quadratic discriminant analysis.
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PACO: an efficient method to implement the EM algorithm in delay tomography analysis for multicast networks. PACO is based on the dynamic programming and “pattern-collapsing” schemes to avoid redundant computations in the E-step.
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LossTomo: an efficient method that estimates link-level loss probabilities of network packets, which is based on a re-parametrization of the likelihood function to the standard exponential family.
[Reference]
