This 5 day course provides a comprehensive overview of data analysis for metabolomics studies focusing on data from NMR spectroscopy and Liquid Chromatography-Mass Spectrometry. It combines lectures ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

The purpose of this study was to present a systematic overview of published reports on the incidence and associated potential risk factors of lower extremity running injuries in long distance runners.

Prepares the student for graduate work in geography by providing an introduction to research techniques, scientific method and the research frontier in geography. SEM This course introduces students ...

Objectives This study investigated the impact of heat on the risk of hospital admission due to a range of health conditions in England. Design We used records of over 4 million hospital admissions in ...

In today's data-driven world, researchers and analysts often face situations where they need to evaluate the impact of a factor on multiple outcomes simultaneously. Whether in education, healthcare, ...

Thanks to their rapid evolution, viral genomes can be analyzed and compared to estimate the dispersal history of the virus responsible for an epidemic, a task known as phylogeographic inference. In ...

Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc) - gpu_pdfs/A Trip Through The Graphics Pipeline - All (Short Version).pdf at master · veeYceeY/gpu_pdfs ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...