See demo.ipynb for how to setup the framework, train the model and peform the matches. Using PROSSTT (Papadopouloset al., 2019), we simulated three single-cell ’omics-styled technologies which share a ...

A deep count autoencoder network to denoise scRNA-seq data and remove the dropout effect by taking the count structure, overdispersed nature and sparsity of the data into account using a deep ...

Modern, large-scale scientific datasets with tens of thousands of variables and millions of samples can accelerate scientific discovery by revealing underlying structure in data based on dependence ...

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Whether natural selection may have attributed to the observed blood group frequency differences between populations remains debatable. The ABO system has been associated with several diseases and ...

Monte Carlo simulation is a method used to analyze the uncertainty and risk associated with a project, such as an oil and gas project. I have developed a basic version of the Monte Carlo Simulation ...

Negative regulatory elements (NREs) down-regulate gene expression by inhibiting the activities of promoters or enhancers. The repressing activity of NREs can be measured globally by massively parallel ...

A major challenge in studying intention reading is high motor variability. Analyses conducted across trials provide insights into what happens on average; however, they may obscure how individual ...

Predictive microbiology models explain bacterial number variations over time and how growth/inactivation rates are affected by environmental conditions (Lammerding and Fazil, 2000). In the development ...

Binomial trees are used to price many options, including European options, American options, and also exotics such as barrier options, digital options, and Asian options, to name a few. They make this ...