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
    • Single-cell sequencing
    • R15
    • R program15
    • R script15
    • Bayesian methods9
    • Biostatistics9
    • Descriptive statistics9
    • Gaussian processes9
    • Inferential statistics9
    • Markov processes9
    • Multivariate statistics9
    • Probabilistic graphical model9
    • Probability9
    • Python9
    • Python program9
    • Python script9
    • Statistics9
    • Statistics and probability9
    • py9
    • Active learning7
    • Ensembl learning7
    • Kernel methods7
    • Knowledge representation7
    • Machine learning7
    • Neural networks7
    • Recommender system7
    • Reinforcement learning7
    • Supervised learning7
    • Unsupervised learning7
    • Data rendering3
    • Data visualisation3
    • Data management2
    • Metadata management2
    • MicroRNA sequencing2
    • RNA sequencing2
    • RNA-Seq2
    • RNA-Seq analysis2
    • Research data management (RDM)2
    • Small RNA sequencing2
    • Small RNA-Seq2
    • Small-Seq2
    • Transcriptome profiling2
    • WTSS2
    • Whole transcriptome shotgun sequencing2
    • miRNA-seq2
    • Exomes1
    • Genome annotation1
    • Genomes1
    • Genomics1
    • Personal genomics1
    • Pipelines1
    • R markdown1
    • Single-cell genomics1
    • Software integration1
    • Synthetic genomics1
    • Tool integration1
    • Tool interoperability1
    • Viral genomics1
    • Whole genomes1
    • Workflows1
    • Show N_FILTERS more
    • Content provider
    • ERGA Knowledge Hub1
    • Show N_FILTERS more
    • Keyword
    • Data science
    • Single-cell sequencing32
    • Transcriptomics28
    • RNA-seq25
    • R10
    • Next generation sequencing5
    • Genomics4
    • General3
    • Machine learning3
    • Python3
    • Statistics3
    • Data visualization2
    • Pathways and Networks2
    • Variant analysis2
    • ATAC-seq1
    • Artificial intelligence1
    • Enrichment analysis1
    • Long read sequencing1
    • Multiomics1
    • Spatial transcriptomics1
    • Unix/Linux1
    • Version control1
    • Show N_FILTERS more
    • Competency level
    • Not specified1
    • Show N_FILTERS more
    • Licence
    • License Not Specified
    • Apache License 2.01
    • 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

Scientific topics: Single-cell sequencing

and Keywords: Data science

and Licence: License Not Specified

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.