If you are at AGBT make sure to go and say hi to my nice colleagues at @PixelgenTech and learn more about what we do. Not there? No worries, you can have a look at the poster here: pixelgen.com/AGBT2023_Pixelg…
Olink® Analyze 3.1 is an R software package to streamline analysis of Olink data. This versatile toolbox supports the entire Olink portfolio, making data analysis easier to facilitate the extraction of biological insights from Olink data. Press release: bit.ly/3bdRQ5f
Here is what I've been working on recently @OlinkProteomics excellently explained by our UX-wizard! Want an invitation? Reach out to me and I'll get it sorted. We are super excited to hear how you like it, and what you'd like to see next.
Today we announce the Olink Explore 3072 high throughput #proteomics platform, offering uncompromised data quality with coverage of all major biological pathways. PEA combined with NGS readout on @illumina platforms. Available for pre-order. Read more at hubs.la/H0QRJSp0
@scilifelab Uppsala is now the first certified core facility in Europe to run the Olink Explore high-throughput protein biomarker platform. Hear how #proteomics & #genomics interests converged to offer this unique technology to scientists in Sweden olink.com/scilifelab-uppsala…
Github VSCode on your browser = 🤯
Just add "1s" before the ".com", and tada!
Here is an example with our Continual Learning library Continuum:
github1s.com/Continvvm/conti…
Question for the data science folks: does anyone know of a way to define a schema for a csv file, that can then be used to generate readers for files of that type for different programing languages? So far google has failed me on this point.
I.e. I want to be able to specify if a column is integer, categorical, string, etc and have that parsed correctly into for example R or Python automatically.