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

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
    • Pathway or network
    • Active learning73
    • Ensembl learning73
    • Kernel methods73
    • Knowledge representation73
    • Machine learning73
    • Neural networks73
    • Recommender system73
    • Reinforcement learning73
    • Supervised learning73
    • Unsupervised learning73
    • Bayesian methods18
    • Biostatistics18
    • Descriptive statistics18
    • Gaussian processes18
    • Inferential statistics18
    • Markov processes18
    • Multivariate statistics18
    • Probabilistic graphical model18
    • Probability18
    • Statistics18
    • Statistics and probability18
    • Data rendering4
    • Data visualisation4
    • Single-cell genomics4
    • Single-cell sequencing4
    • Exomes3
    • Genome annotation3
    • Genomes3
    • Genomics3
    • Network3
    • Pathway3
    • Personal genomics3
    • Synthetic genomics3
    • Viral genomics3
    • Whole genomes3
    • DNA structure prediction2
    • MicroRNA sequencing2
    • Nucleic acid design2
    • Nucleic acid folding2
    • Nucleic acid structure prediction2
    • Pipelines2
    • Protein fold recognition2
    • Protein structure prediction2
    • RNA sequencing2
    • RNA structure prediction2
    • RNA-Seq2
    • RNA-Seq analysis2
    • Small RNA sequencing2
    • Small RNA-Seq2
    • Small-Seq2
    • Software integration2
    • Structural assignment2
    • Structural biology2
    • Structural determination2
    • Structure determination2
    • Structure prediction2
    • Tool integration2
    • Tool interoperability2
    • Transcriptome profiling2
    • WTSS2
    • Whole transcriptome shotgun sequencing2
    • Workflows2
    • miRNA-seq2
    • Antimicrobial stewardship1
    • Bottom-up proteomics1
    • Chromosome walking1
    • Clone verification1
    • Comparative transcriptomics1
    • DNA-Seq1
    • DNase-Seq1
    • Discovery proteomics1
    • High throughput sequencing1
    • High-throughput sequencing1
    • MS-based targeted proteomics1
    • MS-based untargeted proteomics1
    • Medical microbiology1
    • Metaproteomics1
    • Microbial genetics1
    • Microbial physiology1
    • Microbial surveillance1
    • Microbiological surveillance1
    • Microbiology1
    • Molecular infection biology1
    • Molecular microbiology1
    • NGS1
    • NGS data analysis1
    • Next gen sequencing1
    • Next generation sequencing1
    • Panels1
    • Peptide identification1
    • Primer walking1
    • Protein and peptide identification1
    • Proteomics1
    • Quantitative proteomics1
    • Sanger sequencing1
    • Sequencing1
    • Targeted next-generation sequencing panels1
    • Targeted proteomics1
    • Top-down proteomics1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org2
    • PaN Training1
    • Show N_FILTERS more
    • Keyword
    • Machine learning
    • Pathways and Networks13
    • Transcriptomics5
    • Enrichment analysis4
    • RNA-seq3
    • Statistics3
    • Artificial intelligence2
    • General2
    • Metabolomics2
    • Python2
    • R2
    • Single-cell sequencing2
    • ATAC-seq1
    • Data management1
    • Data visualization1
    • Genomics1
    • Multiomics1
    • Unix/Linux1
    • Version control1
    • Show N_FILTERS more
    • Competency level
    • Not specified3
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International2
    • License Not Specified1
    • Show N_FILTERS more
    • Author
    • Neuromatch Academy2
    • gladstone-institutes1
    • Show N_FILTERS more
    • Contributor
    • Aalok Varma1
    • Alexander Pico1
    • Alish Dipani1
    • Anders Riutta1
    • Ann Kennedy1
    • Athena Akrami1
    • Ayushi Agrawal1
    • Bernard Marius 't Hart1
    • Byron Galbraith1
    • CodeWizard1
    • Domenic1
    • Ella Batty1
    • Eric1
    • Ethan Cheng1
    • Federico d'Oleire Uquillas1
    • Furkan Ozcelik1
    • Gunnar Blohm1
    • Himanshu Aggarwal1
    • Iryna Yavorska1
    • James Arney1
    • Jeffrey Erlich1
    • Jesse Livezey1
    • Jesse Parent1
    • Jorge A Menendez1
    • Krishna Choudhary1
    • Kristina Hanspers1
    • Kshitij Dwivedi1
    • Leandro Lima1
    • Lin Zhong1
    • Madineh Sarvestani1
    • Marcel Stimberg1
    • Marcelo G Mattar1
    • Marco Brigham1
    • Marina1
    • Marius Pachitariu1
    • Matt McCann1
    • Matthew Krause1
    • Max Myroshnychenko1
    • Michael Waskom1
    • MichelaTr1
    • Min-gyoung Shin1
    • Natalie Gill1
    • Neuromatch Academy1
    • Nima Dehghani1
    • Patrick Mineault1
    • Pierre-Etienne Fiquet1
    • Rafael Grigoryan1
    • Richard Gao1
    • Ritobrata Ghosh1
    • Saad Jbabdi1
    • Saeed Salehi1
    • SanjeevNara-011
    • Scott Linderman1
    • Siddharth Suresh1
    • Sophie Laturnus1
    • Spiros Chavlis1
    • Steeve Laquitaine1
    • Tara van Viegen1
    • Titipat Achakulvisut1
    • Vasudev Sharma1
    • Viviana Greco1
    • Xaq1
    • Yaroslav Halchenko1
    • Yoni Friedman1
    • Zoltan1
    • actions-user1
    • carsen-stringer1
    • courtneydean331
    • kbonnen1
    • mayofaulkner1
    • reubenthomas1
    • texnh1
    • vincentvalton1
    • Show N_FILTERS more
    • Node
    • Switzerland2
    • Show N_FILTERS more
  • Only show materials from current space
  • Show disabled materials
  • Show materials with broken links
  • Show 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

Across all spaces: true

and Scientific topics: Pathway or network

and Keywords: Machine learning

3 materials found
  • NeuromatchAcademy/course-content

    Machine learning Statistics and probability Pathway or network Artificial intelligence Machine learning Pathways and Networks Python Statistics
  • NeuromatchAcademy/course-content

    ELIXIR node event
    Machine learning Statistics and probability Pathway or network Statistics Machine learning Python Pathways and Networks Artificial intelligence
  • 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 …
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.