AlexHenderson

[from Twitter]
We look forward to this Friday's #VirtualPub with @joel_luethi, Friedrich Miescher Institute for Biomedical Research, and Bugra Özdemir of Euro-BioImaging.
They will take us on an "Exploration and Analysis of Image Data using #OMEZarr." All are welcome! https://www.eurobioimaging.eu/about-us/virtual-pub

New release of #python code to read hyperspectral image files produced by @Agilent #FTIR spectrometers.
- Reads *.seq and *.dmt files.
- Finds files in subfolders.
- Extract numpy arrays and metadata.
- Exports to @hdf5 format.
https://github.com/AlexHenderson/agilent-ir-formats

#infrared #opensource

Just came across LinkML, a flexible modeling language allowing you to author schemas in #YAML that describe the structure of your data.
Validate/generate #JSON, #JSONLD, #RDF, #SPARQL, #SHACL, #ShEx, #OWL.
https://linkml.io
Thanks to #omeNGFF for heads-up

Introduction to Graph Machine Learning

https://huggingface.co/blog/intro-graphml

In this blog post, we cover the basics of graph machine learning.
We first study what graphs are, why they are used, and how best to represent them. We then cover briefly how people learn on graphs, from pre-neural methods (exploring graph features at the same time) to what are commonly called Graph Neural Networks. Lastly, we peek into the world of Transformers for graphs.
#graphml

Great website for suggesting appropriate #visualisation for different data types (numeric, categoric, maps, networks, time series, etc). Even has code snippets in #RProject and #python.
https://www.data-to-viz.com/

iCite: "ITERATIVE RE‐WEIGHTED COVARIATES SELECTION FOR ROBUST FEATURE SELECTION MODELLING IN THE PRESENCE OF OUTLIERS (IRCOVSEL)"
Journal of Chemometrics 2022
https://doi.org/10.1002/cem.3458.
#openaccess #chemometrics #featureselection

Webinar:
"The contribution of the method of visualization “t-SNE” to the analysis of data from vibrational spectroscopy".
François Stevens (CRA-W, Gembloux, Belgium)

29 Nov 14.00 UTC.
Zoom: https://ucd-ie.zoom.us/j/67096694355

#chemometrics #foodscience