Biodatascience101
@Biodatascience1
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Fundamental biological data-science made easy. A teaching initiative by #SinoDanishCenter and @DTU_HealthTech #biodatascience101
Copenhagen, Denmark
Joined March 2020
Sign-up is closing soon (16th November)! Join us to learn state-of-the-art clustering and visualization techniques on SARS-CoV2 antibodies using Python and JupyterLab! Join our online workshop on 25th November 9:00-15:40 CET. Sign-up here: https://t.co/r3mxlQbVqI
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We are back with our third online workshop, focusing on using state-of-the-art clustering and visualization techniques, to see what anti-SARS-CoV2 antibodies look like! Join our online workshop on 25th November 9:00-15:40 CET. Sign-up here: https://t.co/r3mxlQbVqI
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I've tried this "artificial intelligence" plant identification app multiple times on the same tree and get a different answer each time. They must be using random forest
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Just attended @Biodatascience1’s #Workshop on “#MachineLearning Classification of Benign and Malignant #Tumour”. Some highlighted remarks by @ai_mlab, @vanessa_jurtz, and Rudi Agius:
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Just 5 more days to register for our second #Biodatascience101 workshop, introduction to #MachineLearning with an expert panel discussion from @novonordisk and @Rigshospitalet. 30th June 0900-1230 CET, with fundamental methods generalizing to all datasets. https://t.co/Ovh7aNo8xv
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I have no choice but to use my secret weapon! .... "how to count fasta sequences site:
https://t.co/21qO8fIwHi"
https://t.co/pv04lB9bE2
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Biodatascience101: A surprisingly accurate definition for an entirely AI generated word! https://t.co/Hfnn6gYxm6
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Registrations are open for our live introduction to #MachineLearning on tumor imaging features in #Jupyter notebooks, with model analysis in @scikit_learn !! Teaching directly in your browser. Join our online workshop on 30th June 0900-1230 CET. Sign-up: https://t.co/Jai8TPW6pe
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This team almost won a 25 000 USD kaggle competition. They shared an excellent write-up and Jupyter notebooks with code on how they predicted open ion channels from electrical signals using hidden markov models. @Gillesvdwiele
https://t.co/nkh9ktAW0Q
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Murphy´s law: Whatever can go wrong will go wrong. Unless you expect it to go wrong...
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Remember: if your model is bad enough, the confidence intervals can fall outside the printable area! https://t.co/uyngZAXMLj
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To all #structuralbiology fans: How to use Chimera @UCSFChimeraX for protein structural analysis. @rcsbPDB
https://t.co/YsBrcPffy8
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We are hiring! Data Scientist - Structural Bioinformatics - Cambridge UK https://t.co/yjVpa642ky
#Jobs #Bioinformatics #DataScience #MachineLearning #Biostatistics #SoftwareEngineering #structuralbiology @LonzaGroup
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Incredible #CryoEM capturing of a protein directly inside the cell!
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.@xkcdComic "This document was probably prepared by a professional, because no normal human trying to communicate in 2020 would choose this ridiculous format" https://t.co/Nx6aFT5TRf
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Type III error: Undefined - but could be a result of mistaking tally marks for Roman numerals.
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