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
    • Active learning1
    • Bayesian methods1
    • Biostatistics1
    • Descriptive statistics1
    • Ensembl learning1
    • Gaussian processes1
    • Inferential statistics1
    • Kernel methods1
    • Knowledge representation1
    • Machine learning1
    • Markov processes1
    • MicroRNA sequencing1
    • Multivariate statistics1
    • Neural networks1
    • Probabilistic graphical model1
    • Probability1
    • RNA sequencing1
    • RNA-Seq1
    • RNA-Seq analysis1
    • Recommender system1
    • Reinforcement learning1
    • Single-cell genomics1
    • Single-cell sequencing1
    • Small RNA sequencing1
    • Small RNA-Seq1
    • Small-Seq1
    • Statistics1
    • Statistics and probability1
    • Supervised learning1
    • Transcriptome profiling1
    • Unsupervised learning1
    • WTSS1
    • Whole transcriptome shotgun sequencing1
    • miRNA-seq1
    • Show N_FILTERS more
    • Content provider
    • ERGA Knowledge Hub
    • Glittr.org60
    • Australian BioCommons1
    • ELIXIR: The Czech Republic Node1
    • European Bioinformatics Institute (EBI)1
    • GTN1
    • Show N_FILTERS more
    • Keyword
    • Machine learning
    • Genomics41
    • Genome annotation21
    • Genome assembly20
    • Next generation sequencing20
    • Data management16
    • FAIR data14
    • Long read sequencing12
    • RNA-seq11
    • Unix/Linux11
    • Variant analysis10
    • Comparative genomics8
    • Database Management8
    • Science Communication8
    • ABS6
    • Galaxy6
    • Population genetics6
    • Quality Control6
    • Reproducibility6
    • Transcriptomics6
    • Assembly Evaluation5
    • Citizen Science5
    • Data submission5
    • Educational resources5
    • High performance computing5
    • Nagoya5
    • Phylogenetics / Phylogenomics5
    • Python4
    • Open Science3
    • Statistics3
    • Assembly Curation2
    • Conservation genomics2
    • Data science2
    • Data visualization2
    • Epigenetics2
    • Functional Genomics2
    • Pangenomes2
    • R2
    • Stakeholders2
    • DSI1
    • Docker1
    • Event organization1
    • Metagenomics1
    • Nextflow1
    • Pathways and Networks1
    • Sampling Protocols1
    • Single-cell sequencing1
    • Singularity1
    • Training1
    • Show N_FILTERS more
    • Competency level
    • Not specified1
    • Show N_FILTERS more
    • Licence
    • License Not Specified1
    • Show N_FILTERS more
    • Node
    • Switzerland1
    • 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

Content provider: ERGA Knowledge Hub

and Keywords: Machine learning

1 material found
  • Caltech BI/BE/CSS 183: Introduction to Computational Biology and Bioinformatics

    ELIXIR node event
    RNA-Seq Single-cell sequencing Statistics and probability Machine learning RNA-seq Single-cell sequencing Statistics Machine learning Data science
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.