RDM
  • 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
    • Bayesian methods
    • Network13
    • Pathway13
    • Pathway or network13
    • Comparative transcriptomics5
    • Transcriptome5
    • Transcriptomics5
    • Enrichment4
    • Enrichment analysis4
    • Functional enrichment4
    • MicroRNA sequencing4
    • Over-representation analysis4
    • RNA sequencing4
    • RNA-Seq4
    • RNA-Seq analysis4
    • Small RNA sequencing4
    • Small RNA-Seq4
    • Small-Seq4
    • Transcriptome profiling4
    • WTSS4
    • Whole transcriptome shotgun sequencing4
    • miRNA-seq4
    • Active learning3
    • Biostatistics3
    • Descriptive statistics3
    • Ensembl learning3
    • Gaussian processes3
    • Inferential statistics3
    • Kernel methods3
    • Knowledge representation3
    • Machine learning3
    • Markov processes3
    • Multivariate statistics3
    • Neural networks3
    • Probabilistic graphical model3
    • Probability3
    • Recommender system3
    • Reinforcement learning3
    • Statistics3
    • Statistics and probability3
    • Supervised learning3
    • Unsupervised learning3
    • Exomes2
    • Exometabolomics2
    • Genome annotation2
    • Genomes2
    • Genomics2
    • LC-MS-based metabolomics2
    • MS-based metabolomics2
    • MS-based targeted metabolomics2
    • MS-based untargeted metabolomics2
    • Mass spectrometry-based metabolomics2
    • Metabolites2
    • Metabolome2
    • Metabolomics2
    • Metabonomics2
    • NMR-based metabolomics2
    • Personal genomics2
    • Single-cell genomics2
    • Single-cell sequencing2
    • Synthetic genomics2
    • Viral genomics2
    • Whole genomes2
    • DNA methylation1
    • Data management1
    • Data rendering1
    • Data visualisation1
    • Epigenetics1
    • Functional genomics1
    • Histone modification1
    • Integrative omics1
    • Metadata management1
    • Methylation profiles1
    • Multi-omics1
    • Multiomics1
    • Pan-omics1
    • Panomics1
    • Research data management (RDM)1
    • Show N_FILTERS more
    • Content provider
    • Glittr.org2
    • PaN Training1
    • Show N_FILTERS more
    • Keyword
    • Pathways and Networks
    • Statistics80
    • Statistics and machine learning44
    • R42
    • Machine learning18
    • Data science15
    • Python15
    • ai-ml9
    • elixir9
    • jupyter-notebook8
    • Data visualization6
    • RNA-seq6
    • Genomics5
    • Large Language Model5
    • General4
    • Single-cell sequencing4
    • Transcriptomics4
    • interactive-tools4
    • Next generation sequencing3
    • Version control3
    • work-in-progress3
    • Artificial intelligence2
    • Biostatistics2
    • Deep Learning2
    • Image Learner2
    • Reproducibility2
    • Unix/Linux2
    • Variant analysis2
    • deep-learning2
    • jupyter-lab2
    • machine-learning2
    • statistics2
    • ATAC-seq1
    • Automated testing1
    • Data management1
    • Digital Humanities1
    • EeLP1
    • GLEAM1
    • GTEx1
    • Gene Expression1
    • HAM10000 Dataset1
    • HANCOCK Dataset1
    • Health Services1
    • Image Classification1
    • LORIS Score Model1
    • Machine Learning1
    • Multimodal Learning1
    • Multiomics1
    • Open Access1
    • Open Science1
    • Open Source Software1
    • Open access1
    • Open source code1
    • Pan-cancer1
    • Phylogenetics / Phylogenomics1
    • Python for Data Analysis1
    • Quarto1
    • R Programming1
    • RAP1
    • Recurrence Prediction1
    • Reproducible Analytical Pipeline1
    • Reproducible Environment1
    • Reproducible Research1
    • Reproducible Science1
    • Rmarkdown1
    • SimPy1
    • Simulation1
    • Skin Lesion Classification1
    • Spatial transcriptomics1
    • Statistical tests1
    • Tabular Learner1
    • Tissue Classification1
    • Workflows1
    • biostatistics1
    • cancer biomarkers1
    • dephosphorylation-site-prediction1
    • discrete-event simulation1
    • eLearning1
    • fine-tuning1
    • image-segmentation1
    • machine learning1
    • microbial ecosystems1
    • microbiome1
    • oncogenes and tumor suppressor genes1
    • protein-3D-structure1
    • reproduce1
    • reproducible research1
    • simmer1
    • text mining1
    • 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

Scientific topics: Bayesian methods

and Keywords: Pathways and Networks

and Across all spaces: true

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.