Accompanying analysis code for the FRASER manuscript

Welcome! I'm Alexander, a Computer Science student at Simon Fraser University. I love building games and apps using Python, C, and C++. Explore my repositories to see projects like 2048, Wordle, and data analysis apps. Always learning, always coding! Let’s collaborate!

This repository contains the analysis code for the FRASER 2.0 manuscript.

Launched in the late '70s at the Simon Fraser University, Soundscape Composition is a set of composite strategies working on sound environment. Traditionally linked with granular synthesis, it uses electronic music tools to elaborate environmental sounds, preserving their original contexts. The current state of the art technologies allowed the design and the development of an interactive environment inspired by soundscape composition, in which a user can explore a sound augmented reality referring to a real soundscape. The soundscape exploration occurs in two different layers: on a first layer the user can spatially explore the soundscape, while on a second layer a real time exploration of the structural composition of the sound, that build the soundscape, takes place. This second kind of exploration happens through a granular analysis of the sounds. The user moving through the installation modifies the synthesis and sound dynamic parameters, building a cognitive structure of the augmented environment. The sound feedback of the environment modifies user's awareness and, consequently, his decisions on how to move within it. // PureData // granular synthesis // real-time //

Work done in collaboration with the Fraser Lab at USC in the summer of 2018. Analysis of 4D neuroimaging data in sleep/wake zebrafish.

Analysis of Fraser River pink salmon spawner recruitment observations

No description available

No description available

Scripts for updating Fraser et al. analysis

R Code for "Propensity Score Analysis" by Guo & Fraser

Detection and analysis of the movement of white sturgeon in the Fraser River.

Analysis of abnormal RNA splicing in cancer with FRASER, MAJIQ and rMATS-turbo

Financial turnaround strategy & predictive analytics for House of Fraser. Customer segmentation, CLV analysis, revenue forecasting

Data analysis and visualization projects using R and Python for Dr. Bingyun Sun of the chemistry Department at Simon Fraser University

The repository contains a framework that I developed while at Medical Image Analysis Lab, Simon Fraser University Canada. It allows experimentation on BRATS 2017 dataset, with support with HDF5 based dataset.

Commands and input files for the phylogeographic analysis of southern bull kelp Durvillaea antarctica using genotyping-by-sequencing data. Used for: Vaux F, Craw D, Fraser CI, Waters JM. Parallel recolonisations generate distinct genomic sectors in kelp following high magnitude earthquake disturbance. Molecular Ecology (accepted)

Commands and input files for the population genetic and phylogenetic analysis of southern bull kelp Durvillaea poha using GBS. Used for: Vaux F, Craw D, Fraser CI, Waters JM. (2021). Northward range extension for Durvillaea poha bull kelp: response to tectonic disturbance? Journal of Phycology 57(5), 1411-1418.

These course notes were originally written to support the course Math 208W Introduction to Operations Research at Simon Fraser University, British Columbia, Canada. They are designed for students with minimal mathematical background to get a hands-on taste of Operations Research, a branch of mathematics which treats large-scale decision problems. The focus of the course is on exploring such problems, which are too big for analysis via pen-and-paper methods: indeed, simply collecting and managing the data are a big part of the challenge.