Chase Clark's Projects
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.
A copy of mmass v.5.5.0 source code
Base Classes and Functions for Mass Spectrometry and Proteomics
Download from: https://chasemc.github.io/mzEasy/
Search LC-MS/MS Precursors against npatlas https://www.npatlas.org
Extrapolate m/z from an image
This is the git repository matching the Bioconductor package mzR: parser for netCDF, mzXML, mzData and mzML files (mass spectrometry data)
D3 JavaScript Network Graphs from R
A DSL for data-driven computational pipelines
Code and files for the main nf-core website.
Collection of Natural Products Papers (mostly for intro)
Windows Process Viewer
PSI-BLAST with a new sequence weighting algorithm
Iterative unfolding for Python
Chase's CV/Resume
Clone from https://version.aalto.fi/gitlab/bache1/retention_order_prediction.git
How to install local shiny apps
:exclamation:Ā ThisĀ isĀ aĀ read-onlyĀ mirrorĀ ofĀ theĀ CRANĀ RĀ packageĀ repository. RInnoĀ āĀ AnĀ InstallationĀ FrameworkĀ forĀ ShinyĀ Apps.Ā Homepage:Ā www.ficonsulting.com ReportĀ bugsĀ forĀ thisĀ package:Ā https://github.com/ficonsulting/RInno/issues
dynamically reconstruct static code for shiny outputs
Easy interactive web applications with R
Testbox for Shiny package from RStudio