Please note: This instance is for testing/development, and any content submitted may be changed or deleted without warning.
Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Trainers
    • Providers
    • Nodes

TeSS makes use of some necessary cookies to provide its core functionality.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Scientific topic
    • Probabilistic graphical model
    • Bayesian methods2
    • Biostatistics2
    • Descriptive statistics2
    • Gaussian processes2
    • Inferential statistics2
    • Markov processes2
    • Multivariate statistics2
    • Probability2
    • Statistics2
    • Statistics and probability2
    • Show N_FILTERS more
    • Tool
    • Galaxy2
    • IWTomics1
    • scikit-learn1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training2
    • Show N_FILTERS more
    • Keyword
    • Statistics and machine learning2
    • Show N_FILTERS more
    • Difficulty level
    • Beginner2
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International2
    • Show N_FILTERS more
    • Target audience
    • Students2
    • Show N_FILTERS more
    • Author
    • Alireza Khanteymoori1
    • Anup Kumar1
    • Fabio Cumbo1
    • Marzia A Cremona1
    • Show N_FILTERS more
    • Contributor
    • Fabio Cumbo
    • Saskia Hiltemann19
    • Björn Grüning14
    • Helena Rasche14
    • Martin Čech12
    • Anup Kumar11
    • Armin Dadras9
    • Kaivan Kamali7
    • Teresa Müller6
    • Alireza Khanteymoori5
    • Bérénice Batut5
    • Cristóbal Gallardo2
    • Gildas Le Corguillé2
    • Simon Bray2
    • qiagu2
    • Bert Droesbeke1
    • Daniel Sobral1
    • Daniela Schneider1
    • Enis Afgan1
    • Michelle Terese Savage1
    • Mélanie Petera1
    • Nate Coraor1
    • Niall Beard1
    • Nicola Soranzo1
    • Vijay1
    • dlal-group1
    • Show N_FILTERS more
    • Resource type
    • e-learning2
    • Show N_FILTERS more
    • Related resource
    • Associated Workflows
    • Associated Training Datasets3
    • Show N_FILTERS more
  • Show disabled materials
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Scientific topics: Probabilistic graphical model

and Contributors: Fabio Cumbo

and Related resources: Associated Workflows

2 materials found
  • e-learning

    Interval-Wise Testing for omics data

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Introduction to deep learning

    • beginner
    Statistics and probability Statistics and machine learning
Training eSupport System
contact@example.com
Contribute
About TeSS
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.0
Source code
API documentation
Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.