Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Providers
    • Nodes
    • Spaces

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

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 Allow all cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Bayesian methods
    • Biostatistics1
    • Descriptive statistics1
    • Gaussian processes1
    • Inferential statistics1
    • Markov processes1
    • Multivariate statistics1
    • Probabilistic graphical model1
    • Probability1
    • Statistics1
    • Statistics and probability1
    • Show N_FILTERS more
    • Content provider
    • GTN1
    • Show N_FILTERS more
    • Keyword
    • Machine learning1
    • Pan-cancer1
    • Statistics and machine learning1
    • cancer biomarkers1
    • oncogenes and tumor suppressor genes1
    • Show N_FILTERS more
    • Competency level
    • Beginner
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International1
    • Show N_FILTERS more
    • Target audience
    • Students1
    • Show N_FILTERS more
    • Author
    • Vijay
    • Anup Kumar11
    • Kaivan Kamali8
    • Alireza Khanteymoori4
    • Amirhossein Naghsh Nilchi4
    • Björn Grüning4
    • Jeremy Goecks3
    • Junhao Qiu3
    • Paulo Cilas Morais Lyra Junior3
    • Daniel Blankenberg2
    • Janick Mathys2
    • Khai Van Dang2
    • Simon Bray2
    • Bérénice Batut1
    • Dennis Lal group1
    • Ekaterina Polkh1
    • Fabio Cumbo1
    • Fotis Psomopoulos1
    • Marie Gramm1
    • Marilin Moor1
    • Marzia A Cremona1
    • Polina Polunina1
    • Show N_FILTERS more
    • Contributor
    • Anup Kumar1
    • Bérénice Batut1
    • Helena Rasche1
    • Saskia Hiltemann1
    • Vijay1
    • Show N_FILTERS more
    • Resource type
    • e-learning1
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets1
    • Associated Workflows1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Scientific topics: Bayesian methods

and Competency level: Beginner

and Authors: Vijay

1 material found
  • e-learning

    PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis

    • Beginner
    Statistics and probability Machine learning Pan-cancer Statistics and machine learning cancer biomarkers oncogenes and tumor suppressor genes
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
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.