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

TeSSHub makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSSHub 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
    • Active learning1
    • Bayesian methods1
    • Bioinformatics1
    • Biostatistics1
    • Cloud computing1
    • Computer science1
    • Descriptive statistics1
    • Ensembl learning1
    • Gaussian processes1
    • HPC1
    • High performance computing1
    • High-performance computing1
    • Inferential statistics1
    • Kernel methods1
    • Knowledge representation1
    • MOOC1
    • Machine learning1
    • Markov processes1
    • Mass spectrometry data1
    • Massive open online course1
    • Multivariate statistics1
    • Neural networks1
    • On-line course1
    • Online course1
    • Probabilistic graphical model1
    • Probability1
    • Recommender system1
    • Reinforcement learning1
    • Statistics1
    • Statistics and probability1
    • Supervised learning1
    • Unsupervised learning1
    • Show N_FILTERS more
    • Content provider
    • SIB Swiss Institute of Bioinformatics3
    • ELIXIR-SI eLearning Platform (EeLP)1
    • proteomicsML1
    • Show N_FILTERS more
    • Keyword
    • R320
    • Transcriptomics152
    • Genomics148
    • Python142
    • Next generation sequencing115
    • RNA-seq115
    • Data management101
    • Bioinformatics95
    • FAIR data77
    • Statistics77
    • Galaxy Server administration68
    • FAIR67
    • Machine learning67
    • Reproducibility66
    • Data science63
    • Unix/Linux61
    • Single-cell sequencing59
    • data management54
    • jupyter-notebook54
    • Proteomics53
    • Workflows53
    • Foundations of Data Science51
    • Version control51
    • Data visualization49
    • Variant analysis48
    • biodiversity48
    • Development in Galaxy45
    • Statistics and machine learning44
    • Genome assembly43
    • Single Cell42
    • microgalaxy41
    • training38
    • General36
    • Genome annotation36
    • Metagenomics36
    • Genome Annotation32
    • Microbiome32
    • FAIR Data, Workflows, and Research31
    • Nextflow31
    • Ecology30
    • programming30
    • Contributing to the Galaxy Training Material28
    • Using Galaxy and Managing your Data28
    • Assembly27
    • Metadata27
    • metagenomics27
    • Data analysis26
    • Epigenetics26
    • Long read sequencing26
    • RDM25
    • Data reuse24
    • FAIR principles24
    • Containerization23
    • High performance computing23
    • Docker22
    • Microbiology22
    • Rare Diseases & Research22
    • Spatial transcriptomics22
    • data stewardship22
    • FAIR Data21
    • Imaging21
    • Open Science21
    • Shiny21
    • ansible21
    • reproducible research21
    • Metabolomics20
    • metadata20
    • sensitive data19
    • 3D BioInfo Community19
    • Artificial intelligence19
    • CfRR19
    • ChIP-seq19
    • Galaxy19
    • REDCap19
    • git-gat19
    • life-sciences19
    • scientific computing19
    • Cloud computing18
    • Comparative genomics18
    • Programming18
    • Variant Analysis18
    • interactive-tools18
    • Climate17
    • Data sharing17
    • Sequence analysis17
    • Teaching and Hosting Galaxy training17
    • fair17
    • prokaryote17
    • work-in-progress17
    • HemaFAIR16
    • Introduction to Galaxy Analyses16
    • Research Data Management16
    • Roslin Institute16
    • Shell16
    • jbrowse116
    • Data mining15
    • Quarto15
    • bioinformatics15
    • earth-system15
    • elixir15
    • Show N_FILTERS more
    • Competency level
    • Beginner3
    • Intermediate1
    • Not specified1
    • Show N_FILTERS more
    • Licence
    • License Not Specified3
    • Creative Commons Attribution 4.0 International1
    • Creative Commons Attribution Non Commercial No Derivatives 4.0 International1
    • Show N_FILTERS more
    • Target audience
    • Life Science Researchers1
    • PhD students1
    • Postdoctoral researchers1
    • Students1
    • Trainers1
    • Training Designers1
    • Training instructors1
    • statisticians1
    • Show N_FILTERS more
    • Author
    • SIB Swiss Institute of Bioinformatics3
    • Markus Müller2
    • Thuong Van Du Tran2
    • Ana-Claudia Sima1
    • Daniele Silvestro1
    • Fotis Psomopoulos1
    • Joana Pereira1
    • Markus A Lill1
    • Raphaelle Luisier1
    • Wandrille Duchemin1
    • Show N_FILTERS more
    • Resource type
    • Training materials1
    • tutorials1
    • Show N_FILTERS more
    • Node
    • Switzerland3
    • Greece1
    • Slovenia1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Hide archived materials

Training materials

  • Subscribe via email
  • Harvest using OAI-PMH

Email Subscription

Harvest using OAI-PMH

Exchange content using OAI-PMH

Use an OAI-PMH compatible tool to harvest metadata using the OAI-PMH endpoint. In particular, this endpoint can be used for exchanging content between different TeSS instances. See the TeSS documentation for more details.

Register training material

Keywords: machine learning

and Include archived: true

5 materials found
  • Introduction to Large Language Models for Life Scientists

    ELIXIR node event
    • Beginner
    machine learning mark ibberson group training
  • tutorials

    ProteomicsML

    Bioinformatics Online course Mass spectrometry data bioinformatics community platform deep learning detectability educational platform fragmentation ion mobility …
  • Deep Learning for Life Sciences - fundamentals and applications

    ELIXIR node event
    • Beginner
    training data mining machine learning programming artificial intelligence prediction
  • Statistics and Machine Learning for Life Sciences

    ELIXIR node event
    •• Intermediate
    training biostatistics data mining machine learning torsten schwede & thierry sengstag group
  • Training materials

    Machine Learning & BioStatistics Hackathon 2020

    ELIXIR node event
    • Beginner
    Machine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP
Training eSupport System
[email protected]
Contribute
About TeSSHub
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation
Bioschemas testing tool

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