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Merge pull request #5907 from BiodataAnalysisGroup/dome-training
Dome training material for AI school.
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CONTRIBUTORS.yaml

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joined: 2024-11
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affiliations:
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- nfdi4bioimage
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sfragkoul:
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name: Stella Fragkouli
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twitter: scfragkoul
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linkedin: sfragkoul
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orcid: 0000-0003-4067-7123
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joined: 2025-03
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elixir_node: gr
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affiliations:
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- elixir-europe
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topics/statistics/tutorials/dome/slides.html

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contributions:
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authorship:
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- fpsom
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- sfragkoul
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tags:
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- elixir
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- ai-ml
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---
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---
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@article{gruning2018practical,
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title={Practical computational reproducibility in the life sciences},
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author={Gr{\"u}ning, Bj{\"o}rn and Chilton, John and K{\"o}ster, Johannes and Dale, Ryan and Soranzo, Nicola and Van Den Beek, Marius and Goecks, Jeremy and Backofen, Rolf and Nekrutenko, Anton and Taylor, James},
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journal={Cell systems},
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volume={6},
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number={6},
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pages={631--635},
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year={2018},
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publisher={Elsevier},
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doi={10.1016/j.cels.2018.03.014},
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}
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@article{jones2019setting,
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title={Setting the standards for machine learning in biology},
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author={Jones, David T},
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journal={Nature Reviews Molecular Cell Biology},
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volume={20},
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number={11},
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pages={659--660},
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year={2019},
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publisher={Nature Publishing Group UK London},
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doi={10.1038/s41580-019-0176-5},
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}
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@article{necci2020mobidb,
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title={MobiDB-lite 3.0: fast consensus annotation of intrinsic disorder flavors in proteins},
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author={Necci, Marco and Piovesan, Damiano and Clementel, Damiano and Doszt{\'a}nyi, Zsuzsanna and Tosatto, Silvio CE},
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journal={Bioinformatics},
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volume={36},
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number={22-23},
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pages={5533--5534},
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year={2020},
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publisher={Oxford University Press},
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doi={10.1093/bioinformatics/btaa1045},
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}
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@article{sandve2013ten,
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title={Ten simple rules for reproducible computational research},
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author={Sandve, Geir Kjetil and Nekrutenko, Anton and Taylor, James and Hovig, Eivind},
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journal={PLoS computational biology},
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volume={9},
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number={10},
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pages={e1003285},
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year={2013},
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publisher={Public Library of Science San Francisco, USA},
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doi={10.1371/journal.pcbi.1003285},
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}
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@article{walsh2015comprehensive,
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title={Comprehensive large-scale assessment of intrinsic protein disorder},
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author={Walsh, Ian and Giollo, Manuel and Di Domenico, Tom{\'a}s and Ferrari, Carlo and Zimmermann, Olav and Tosatto, Silvio CE},
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journal={Bioinformatics},
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volume={31},
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number={2},
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pages={201--208},
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year={2015},
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publisher={Oxford University Press},
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doi={10.1093/bioinformatics/btu625},
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}
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@article{walsh2016correct,
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title={Correct machine learning on protein sequences: a peer-reviewing perspective},
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author={Walsh, Ian and Pollastri, Gianluca and Tosatto, Silvio CE},
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journal={Briefings in bioinformatics},
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volume={17},
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number={5},
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pages={831--840},
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year={2016},
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publisher={Oxford University Press},
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doi={10.1093/bib/bbv082},
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}
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@article{walsh2021dome,
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title={DOME: recommendations for supervised machine learning validation in biology},
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author={Walsh, Ian and Fishman, Dmytro and Garcia-Gasulla, Dario and Titma, Tiina and Pollastri, Gianluca and Harrow, Jennifer and Psomopoulos, Fotis E and Tosatto, Silvio CE},
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journal={Nature methods},
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volume={18},
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number={10},
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pages={1122--1127},
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year={2021},
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publisher={Nature Publishing Group US New York},
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doi={10.1038/s41592-021-01205-4},
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}
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@article{wilkinson2016fair,
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title={The FAIR Guiding Principles for scientific data management and stewardship},
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author={Wilkinson, Mark D and Dumontier, Michel and Aalbersberg, IJsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak, Arie and Blomberg, Niklas and Boiten, Jan-Willem and da Silva Santos, Luiz Bonino and Bourne, Philip E and others},
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journal={Scientific data},
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volume={3},
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number={1},
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pages={1--9},
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year={2016},
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publisher={Nature Publishing Group},
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doi={10.1038/sdata.2016.18},
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}

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