leeHom is a program to trim adapters and merge overlapping sequencing using a Bayesian reconstruction. This is particularly useful for ancient DNA and or DNA shorter fragment sizes like cell-free DNA.

Abstract: A generalized Bayesian linearized seismic inversion framework is presented to extend the classical Bayesian linearized inversion by assuming non-Gaussian prior distributions for elastic ...

Abstract: In this article, a novel normal-skew mixture (NSM) distribution is presented to model the normal and/or heavy-tailed and/or skew nonstationary distributed noises. The NSM distribution can be ...

Vikki Velasquez is a researcher and writer who has managed, coordinated, and directed various community and nonprofit organizations. She has conducted in-depth research on social and economic issues ...

In this blog post, I am going to teach you how to train a Bayesian deep learning classifier using Keras and tensorflow. Before diving into the specific training example, I will cover a few important ...

Electroencephalography and magnetoencephalography recordings are non-invasive and temporally precise, making them invaluable tools in the investigation of neural responses in humans. However, these ...

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 ...

Purpose: Bayesian calibration is generally superior to standard direct-search algorithms in that it estimates the full joint posterior distribution of the calibrated parameters. However, there are ...

Vector Institute for Artificial Intelligence, Toronto, Ontario M5S 1M1, Canada Canadian Institute for Advanced Research (CIFAR) Senior Fellow, Toronto, Ontario M5S 1M1, Canada We report Phoenics, a ...