Please note: This instance is for testing/development, and any content submitted may be changed or deleted without warning.
Training eSupport System
  • Log In
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Trainers
    • Providers
    • Nodes

TeSS makes use of some necessary cookies to provide its core functionality.

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
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Scientific topic
    • Probabilistic graphical model
    • Bayesian methods15
    • Biostatistics15
    • Descriptive statistics15
    • Gaussian processes15
    • Inferential statistics15
    • Markov processes15
    • Multivariate statistics15
    • Probability15
    • Statistics15
    • Statistics and probability15
    • Algorithms8
    • Bottom-up proteomics8
    • Computer programming8
    • Data structures8
    • Discovery proteomics8
    • MS-based targeted proteomics8
    • MS-based untargeted proteomics8
    • Metaproteomics8
    • Peptide identification8
    • Programming languages8
    • Protein and peptide identification8
    • Proteomics8
    • Quantitative proteomics8
    • Software development8
    • Software engineering8
    • Targeted proteomics8
    • Top-down proteomics8
    • Comparative transcriptomics4
    • Transcriptome4
    • Transcriptomics4
    • Epigenomics3
    • ChIP-exo1
    • ChIP-seq1
    • ChIP-sequencing1
    • Chip Seq1
    • Chip sequencing1
    • Chip-sequencing1
    • Computational chemistry1
    • Computational ecology1
    • Content management1
    • DNA variation1
    • Data management1
    • Database management1
    • Diffraction experiment1
    • Document management1
    • Ecoinformatics1
    • Ecological informatics1
    • Ecology1
    • Ecosystem science1
    • File management1
    • Genetic variation1
    • Genomic variation1
    • Imaging1
    • Informatics1
    • Information management1
    • Information science1
    • Knowledge management1
    • Metadata management1
    • Microscopy1
    • Microscopy imaging1
    • Mutation1
    • Optical super resolution microscopy1
    • Photonic force microscopy1
    • Photonic microscopy1
    • Polymorphism1
    • Record management1
    • Research data management (RDM)1
    • Somatic mutations1
    • Show N_FILTERS more
    • Tool
    • Galaxy15
    • scikit-learn10
    • GEMINI1
    • PubMed1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training15
    • Show N_FILTERS more
    • Keyword
    • Statistics and machine learning15
    • interactive-tools4
    • deep-learning2
    • jupyter-lab2
    • machine-learning2
    • dephosphorylation-site-prediction1
    • fine-tuning1
    • image-segmentation1
    • protein-3D-structure1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner14
    • Intermediate1
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International15
    • Show N_FILTERS more
    • Target audience
    • Students15
    • Show N_FILTERS more
    • Author
    • Anup Kumar11
    • Alireza Khanteymoori4
    • Kaivan Kamali2
    • Simon Bray2
    • Bérénice Batut1
    • Daniel Blankenberg1
    • Dennis Lal group1
    • Ekaterina Polkh1
    • Fotis E. Psomopoulos1
    • Marie Gramm1
    • Show N_FILTERS more
    • Contributor
    • Martin Čech
    • Saskia Hiltemann27
    • Björn Grüning23
    • Anup Kumar20
    • Helena Rasche17
    • Bérénice Batut16
    • Armin Dadras11
    • Teresa Müller8
    • Kaivan Kamali7
    • Alireza Khanteymoori5
    • Wandrille Duchemin5
    • olisand5
    • Fabio Cumbo3
    • Cristóbal Gallardo2
    • Gildas Le Corguillé2
    • Michelle Terese Savage2
    • Nate Coraor2
    • Simon Bray2
    • qiagu2
    • Anthony Bretaudeau1
    • Bert Droesbeke1
    • Charlotte Soneson1
    • Daniel Blankenberg1
    • Daniel Sobral1
    • Daniela Schneider1
    • Enis Afgan1
    • Janick Mathys1
    • Koen Van den Berge1
    • Laurent Gatto1
    • Lieven Clement1
    • Martin Morgan1
    • Mélanie Petera1
    • Niall Beard1
    • Nicola Soranzo1
    • Oliver Crook1
    • Stella Fragkouli1
    • Vijay1
    • dlal-group1
    • Show N_FILTERS more
    • Resource type
    • e-learning12
    • slides3
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets14
    • Associated Workflows12
    • Show N_FILTERS more
  • Show disabled materials
  • Show archived materials
    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month

Training materials

  • Subscribe via email

Email Subscription

Register training material

Scientific topics: Probabilistic graphical model

and Contributors: Martin Čech

15 materials found
  • e-learning

    Basics of machine learning

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Classification in Machine Learning

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Introduction to deep learning

    • beginner
    Statistics and probability Statistics and machine learning
  • slides

    Convolutional neural networks (CNN) Deep Learning - Part 3

    • beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Deep Learning (Part 3) - Convolutional neural networks (CNN)

    • beginner
    Statistics and probability Statistics and machine learning
  • 1
  • 2
Training eSupport System
contact@example.com
Contribute
About TeSS
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.0
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.