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
    • Comparative transcriptomics5
    • MicroRNA sequencing5
    • RNA sequencing5
    • RNA-Seq5
    • RNA-Seq analysis5
    • Small RNA sequencing5
    • Small RNA-Seq5
    • Small-Seq5
    • Transcriptome5
    • Transcriptome profiling5
    • Transcriptomics5
    • WTSS5
    • Whole transcriptome shotgun sequencing5
    • miRNA-seq5
    • Single-cell genomics3
    • Single-cell sequencing3
    • Biostatistics2
    • Chromosome walking2
    • Clone verification2
    • DNA-Seq2
    • DNase-Seq2
    • Descriptive statistics2
    • Gaussian processes2
    • High throughput sequencing2
    • High-throughput sequencing2
    • Inferential statistics2
    • Markov processes2
    • Multivariate statistics2
    • NGS2
    • NGS data analysis2
    • Next gen sequencing2
    • Next generation sequencing2
    • Panels2
    • Primer walking2
    • Probabilistic graphical model2
    • Probability2
    • Sanger sequencing2
    • Sequencing2
    • Statistics2
    • Statistics and probability2
    • Targeted next-generation sequencing panels2
    • Data management1
    • Metadata management1
    • Research data management (RDM)1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org2
    • Show N_FILTERS more
    • Keyword
    • Statistics2
    • R1
    • Show N_FILTERS more
    • Competency level
    • Not specified2
    • Show N_FILTERS more
    • Licence
    • License Not Specified
    • Creative Commons Zero v1.0 Universal1
    • Show N_FILTERS more
    • Author
    • CRUK CI Bioinformatics Core
    • SIB Swiss Institute of Bioinformatics4
    • The Carpentries Incubator4
    • The Gulbenkian Training Programme in Bioinformatics4
    • David Dalpiaz2
    • Allen Downey1
    • András Aszódi1
    • Canadian Bioinformatics Workshops1
    • Causal Inference in R1
    • Computational Biology and Bioinformatics at UCLouvain1
    • Daniel Kaplan1
    • Danielle Navarro1
    • Emil Hvitfeldt1
    • Jacques van Helden1
    • Keith McNulty1
    • Matthew B. Jané1
    • ModernDive1
    • Monash Data Fluency1
    • Måns Thulin1
    • Norm Matloff1
    • OpenIntro1
    • Oscar Baruffa1
    • Pachter Lab1
    • Paul Roback1
    • RStudio Education1
    • Richard McElreath1
    • Stephanie Hicks1
    • Stephen Turner1
    • Surgical Informatics1
    • Teaching materials at the Harvard Chan Bioinformatics Core1
    • Wolfgang Huber1
    • bioinformatics.ca1
    • gladstone-institutes1
    • posit-conf-20231
    • robinsonlabuzh1
    • Show N_FILTERS more
    • Contributor
    • Mark Dunning2
    • Mark Fernandes2
    • AshKernow1
    • Chandra Chilamakuri1
    • Matt Eldridge1
    • robnic1231
    • Show N_FILTERS more
    • Node
    • Switzerland2
    • 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 Licence: License Not Specified

and Authors: CRUK CI Bioinformatics Core

2 materials found
  • bioinformatics-core-shared-training/IntroductionToStats

    ELIXIR node event
    Statistics and probability Statistics
  • bioinformatics-core-shared-training/linear-models-r

    ELIXIR node event
    Statistics and probability R Statistics
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.