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
    • Machine learning
    • Single-cell genomics58
    • Single-cell sequencing58
    • Comparative transcriptomics51
    • Transcriptome51
    • Transcriptomics51
    • MicroRNA sequencing47
    • RNA sequencing47
    • RNA-Seq47
    • RNA-Seq analysis47
    • Small RNA sequencing47
    • Small RNA-Seq47
    • Small-Seq47
    • Transcriptome profiling47
    • WTSS47
    • Whole transcriptome shotgun sequencing47
    • miRNA-seq47
    • Chromosome walking12
    • Clone verification12
    • DNA-Seq12
    • DNase-Seq12
    • High throughput sequencing12
    • High-throughput sequencing12
    • NGS12
    • NGS data analysis12
    • Next gen sequencing12
    • Next generation sequencing12
    • Panels12
    • Primer walking12
    • Sanger sequencing12
    • Sequencing12
    • Targeted next-generation sequencing panels12
    • Exomes6
    • Genome annotation6
    • Genomes6
    • Genomics6
    • Personal genomics6
    • Synthetic genomics6
    • Viral genomics6
    • Whole genomes6
    • Active learning4
    • Bayesian methods4
    • Biostatistics4
    • Descriptive statistics4
    • Ensembl learning4
    • Gaussian processes4
    • Inferential statistics4
    • Kernel methods4
    • Knowledge representation4
    • Markov processes4
    • Multivariate statistics4
    • Neural networks4
    • Probabilistic graphical model4
    • Probability4
    • Recommender system4
    • Reinforcement learning4
    • Statistics4
    • Statistics and probability4
    • Supervised learning4
    • Unsupervised learning4
    • Variant pattern analysis4
    • Data rendering3
    • Data visualisation3
    • ChIP-exo2
    • ChIP-seq2
    • ChIP-sequencing2
    • Chip Seq2
    • Chip sequencing2
    • Chip-sequencing2
    • DNA methylation2
    • Epigenetics2
    • Histone modification2
    • Methylation profiles2
    • Network2
    • Pathway2
    • Pathway or network2
    • Enrichment1
    • Enrichment analysis1
    • Functional enrichment1
    • Functional genome annotation1
    • Integrative omics1
    • Metagenome annotation1
    • Multi-omics1
    • Multiomics1
    • Over-representation analysis1
    • Pan-omics1
    • Panomics1
    • Structural genome annotation1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org3
    • ERGA Knowledge Hub1
    • Show N_FILTERS more
    • Keyword
    • Single-cell sequencing
    • Machine learning61
    • Python17
    • R17
    • Statistics15
    • Data science13
    • Artificial intelligence12
    • General5
    • Data visualization4
    • AlphaFold Database (13181)3
    • Genomics3
    • Large language models3
    • Structure prediction3
    • FAIR principles2
    • HELIOS2
    • Healthcare2
    • HemaFAIR2
    • Machine Learning2
    • Pathways and Networks2
    • RNA-seq2
    • Spatial transcriptomics2
    • Transcriptomics2
    • Version control2
    • Workflows2
    • ATAC-seq1
    • AlphaFold1
    • Alphafold1
    • Best practises1
    • Bioinformatics1
    • Coding1
    • Computational Biology1
    • Computer Science1
    • Data Analysis1
    • Data Protection1
    • Data Science1
    • Data standards1
    • Deep Learning1
    • Deep learning1
    • EeLP1
    • Federated Learning1
    • General Data Protection Regulation1
    • Hemoglobinopathies1
    • High performance computing1
    • Microbiology1
    • Next generation sequencing1
    • Ontology1
    • Programming1
    • Protein structure1
    • Proteomics1
    • Reproducibility1
    • Semantic Web1
    • Snakemake1
    • Structure design1
    • Structures (structures)1
    • Unix/Linux1
    • biostatistics1
    • eLearning1
    • machine learning1
    • protein-3D-structure1
    • Show N_FILTERS more
    • Competency level
    • Not specified4
    • Show N_FILTERS more
    • Licence
    • License Not Specified3
    • Apache License 2.01
    • Show N_FILTERS more
    • Author
    • PAIR code1
    • gladstone-institutes1
    • juexinwang1
    • Show N_FILTERS more
    • Contributor
    • Adam Pearce1
    • Alexander Pico1
    • Anders Riutta1
    • Andy Coenen1
    • Ayushi Agrawal1
    • Krishna Choudhary1
    • Kristina Hanspers1
    • Kyle Willett1
    • Leandro Lima1
    • MichelaTr1
    • Min-gyoung Shin1
    • Natalie Gill1
    • juexinwang1
    • reubenthomas1
    • Show N_FILTERS more
    • Node
    • Switzerland4
    • 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: Machine learning

and Keywords: Single-cell sequencing

4 materials 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
  • juexinwang/Tutorial_ISMB2024

    ELIXIR node event
    Machine learning Single-cell sequencing Machine learning Artificial intelligence Single-cell sequencing Spatial transcriptomics
  • gladstone-institutes/Bioinformatics-Workshops

    ELIXIR node event
    Genomics Transcriptomics Machine learning Statistics and probability Single-cell sequencing RNA-Seq Pathway or network Data visualisation General R …
  • PAIR-code/understanding-umap

    ELIXIR node event
    Machine learning Statistics and probability Single-cell sequencing Data visualisation Single-cell sequencing Data visualization Data science Machine learning 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.