tkimhofer Goto Github PK
Name: Torben Kimhofer
Type: User
Bio: Data enthusiast and scientist.
Name: Torben Kimhofer
Type: User
Bio: Data enthusiast and scientist.
Badge for R Package
Bruker ms file conversion with baftosql linux docker
Fast spectral similarity matching based on binary tree distances (Python implementation)
RaspberryPi home camera system incl. email altert
R library for cleaning survey data and automate calculation of univariate summary statistics (formatted as HTML table).
Student project supervision in NMR-based metabolomics: Addressing NMR signal to noise variability of urine samples by adjusting the number of scans at data acquisition stage
Dynamic Multivariate Data Analysis and Visualization Platform
An R-focused pipeline toolkit for reproducibility and high-performance computing
:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby
R library for reading and visualising J-resolved NMR experiments - spectral import and preprocessing, Rcpp
Web-application for 2D NMR peak picking and result visualisation using a Laplacian of Gaussian (LoG) and deep learning (TF Keras) approach - currently under development
R library for NMR/MS analyses. Workflow includes NMR data import & preprocessing, statistical modelling (PCA, O-PLS), met ID-ing, visualisation (ggplot2, plotly).. Critical functions implemented in C++ using linear algebra packages (Armadillo, Eigen) to improve run-time.
Machine learning cheatsheet
Untargeted LC/GC-MS data processing using xcms (R)
An RShiny dashboard for visualisation of mass spectrometry (MS) data and fine-tuning of xcms pre-processing parameters
Python dashboard for parsing targeted MS files (Skyline) into 2D matrix format, using gunicorn as WSGI server.
Teaching - 1D NMR pulse & FID record w two detectors (3D animation, web-link in repo)
Student project supervision in NMR-based metabolomics: Addressing NMR signal to noise variability of urine samples by adjusting acquisition parameters using the Jython API of TopSpin
The nPYc-Toolbox defines objects for representing, and implements functions to manipulate and display, metabolic profiling datasets.
Collection of modelling algorithms for NMR & MS data, including principal components analysis (PLS), (orthogonal) partial least squares (O-PLS, PLS), non-negative least squares regression (NNLSQ). Included are model visualisations based on matplotlib.
Generate static html documentation for an R package
Registration website for event: Time Series with Python (Statistical Society of Australia)
Python version of metabom8 (pronounced "py-mate") for NMR data import and and pre-processing. Significant run time improvements due to parallelisation of selected functions, interactive graphics (matplotlib, plotly).
Python dashboard for mass spectrometry data visualisations: Data import with a Docker image (intel), chromatogram de-noising (autoencoder, Tensorflow), LC-MS feature detection with a nearest neighbour clustering approach (dbscan, scikit-learn)
XML parser to collect NMR quantification data from Bruker B.I. methods (lipoprotein or metabolite concentrations generated with IVDr experiments)
Examples of R Markdown Websites
Shiny support for powerful Semantic UI library.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.