… Below, we detail the variational expectation-maximization (EM) procedure to carry out … We
used variational EM algorithm to fit an array of mixed membership blockmodels with different …

Through alternative splicing, most human genes express multiple isoforms that often differ
in function. To infer isoform regulation from high-throughput sequencing of cDNA fragments (…

… [3] EM Airoldi, “Model-based clustering for social … [4] EM Airoldi, “The exchangeable graph
model,” Technical report 1, Department of Statistics, Harvard University, 2009. [5] EM Airoldi, “…

… Instead, we developed an approximate variational EM algorithm using a Laplace approximation
to the expectations rendered intractable by the nonconjungacy (Wang and Blei Citation…

We studied the relationship between growth rate and genome-wide gene expression, cell
cycle progression, and glucose metabolism in 36 steady-state continuous cultures limited by …

… Semi-collapsed, non-conjugate, mean-field variational EM Propagating estimation
uncertainty (method of composition) Forthcoming R package … Semi-collapsed, non-conjugate …

Heat causes protein misfolding and aggregation and, in eukaryotic cells, triggers aggregation
of proteins and RNA into stress granules. We have carried out extensive proteomic studies …

… In such cases, a variational approximation to the EM [12] can be obtained by defining a
parametric approximation to the posterior in Equation 6, denoted by q̃ ≡ q Δ (X), which involves …

Molecular regulation of embryonic stem cell (ESC) fate involves a coordinated interaction
between epigenetic 1 , 2 , 3 , 4 , transcriptional 5 , 6 , 7 , 8 , 9 , 10 and translational 11 , 12 …

We present asymptotic and finite-sample results on the use of stochastic blockmodels for
the analysis of network data. We show that the fraction of misclassified network nodes …