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Hello World!

I'm a bioinformatician dedicated to unraveling the complexities of biological data through advanced computational techniques. My work primarily revolves around:

Transcriptomics Analyses: I specialize in analyzing RNA-Seq data to understand gene expression patterns, differential expression, and functional annotation. My goal is to decipher the biological significance and regulatory mechanisms underlying various conditions and treatments.

Machine Learning Predictions of Chemical Toxicity: I leverage machine learning algorithms to predict chemical toxicity from gene expression data. By integrating computational methods and biological insights, I aim to contribute towards non-animal chemical safety assessment.

Teaching and Mentoring: As an educator, I guide undergraduate and master's students through the fascinating world of bioinformatics. I enjoy sharing my knowledge and experience, helping students to develop their skills in data analysis, programming, and research methodologies.

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Bwanya Brian's Projects

app-ideas icon app-ideas

A Collection of application ideas which can be used to improve your coding skills.

awesome-cheatsheets icon awesome-cheatsheets

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

bmdexpress-2 icon bmdexpress-2

Software for analyzing high dimensional dose-response data

cheat icon cheat

cheat allows you to create and view interactive cheatsheets on the command-line. It was designed to help remind *nix system administrators of options for commands that they use frequently, but not frequently enough to remember.

computer-science icon computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

ffq icon ffq

A tool to find sequencing data and metadata from public databases.

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mutagen icon mutagen

Source code and slides for an end-to-end tidymodels demo

r_rmarkdown_shiny icon r_rmarkdown_shiny

This repository is meant for the R part of the EANBiT 2019 residential training

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