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
    • Probability
    • Bottom-up proteomics13
    • Discovery proteomics13
    • MS-based targeted proteomics13
    • MS-based untargeted proteomics13
    • Metaproteomics13
    • Peptide identification13
    • Protein and peptide identification13
    • Proteomics13
    • Quantitative proteomics13
    • Targeted proteomics13
    • Top-down proteomics13
    • Diffraction experiment12
    • Exomes12
    • Genome annotation12
    • Genomes12
    • Genomics12
    • Imaging12
    • Microscopy12
    • Microscopy imaging12
    • Optical super resolution microscopy12
    • Personal genomics12
    • Photonic force microscopy12
    • Photonic microscopy12
    • Synthetic genomics12
    • Viral genomics12
    • Whole genomes12
    • Assembly10
    • Sequence assembly10
    • Bayesian methods6
    • Biodiversity6
    • Biostatistics6
    • Descriptive statistics6
    • Gaussian processes6
    • Inferential statistics6
    • Markov processes6
    • Multivariate statistics6
    • Probabilistic graphical model6
    • Statistics6
    • Statistics and probability6
    • Computational chemistry5
    • Community analysis4
    • DNA variation4
    • Environmental microbiology4
    • Exometabolomics4
    • Genetic variation4
    • Genomic variation4
    • LC-MS-based metabolomics4
    • MS-based metabolomics4
    • MS-based targeted metabolomics4
    • MS-based untargeted metabolomics4
    • Mass spectrometry-based metabolomics4
    • Metabolites4
    • Metabolome4
    • Metabolomics4
    • Metabonomics4
    • Metagenomics4
    • Microbial ecology4
    • Microbiome4
    • Molecular community analysis4
    • Mutation4
    • NMR-based metabolomics4
    • Polymorphism4
    • Shotgun metagenomics4
    • Somatic mutations4
    • Antimicrobial stewardship3
    • Medical microbiology3
    • Microbial genetics3
    • Microbial physiology3
    • Microbial surveillance3
    • Microbiological surveillance3
    • Microbiology3
    • Molecular infection biology3
    • Molecular microbiology3
    • Proteogenomics3
    • Animal2
    • Animal biology2
    • Animal genetics2
    • Animal physiology2
    • Animals2
    • Biological sequences2
    • Botany2
    • Communicable disease2
    • Comparative transcriptomics2
    • Entomology2
    • Evolution2
    • Evolutionary biology2
    • Gene and protein families2
    • Gene families2
    • Gene family2
    • Gene system2
    • Genes, gene family or system2
    • Infectious disease2
    • Metatranscriptomics2
    • Metazoa2
    • Plant2
    • Plant anatomy2
    • Plant biology2
    • Plant cell biology2
    • Plant ecology2
    • Show N_FILTERS more
    • Tool
    • Galaxy
    • Show N_FILTERS more
    • Content provider
    • GTN6
    • Show N_FILTERS more
    • Keyword
    • Statistics and machine learning5
    • Deep Learning1
    • Digital Humanities1
    • GLEAM1
    • HAM10000 Dataset1
    • HANCOCK Dataset1
    • Image Classification1
    • Image Learner1
    • LORIS Score Model1
    • Machine Learning1
    • Multimodal Learning1
    • Recurrence Prediction1
    • Skin Lesion Classification1
    • Tabular Learner1
    • interactive-tools1
    • text mining1
    • Show N_FILTERS more
    • Competency level
    • Intermediate
    • Beginner28
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International6
    • Show N_FILTERS more
    • Target audience
    • Students6
    • Show N_FILTERS more
    • Author
    • Jeremy Goecks3
    • Junhao Qiu3
    • Paulo Cilas Morais Lyra Junior3
    • Alyssa Pybus2
    • Khai Van Dang2
    • Daniela Schneider1
    • Fabio Cumbo1
    • Fotis E. Psomopoulos1
    • Show N_FILTERS more
    • Contributor
    • Saskia Hiltemann5
    • Anup Kumar4
    • Björn Grüning4
    • Helena Rasche3
    • Paulo Cilas Morais Lyra Junior3
    • Delphine Lariviere2
    • Fabio Cumbo2
    • Teresa Müller2
    • Anthony Bretaudeau1
    • Daniel Blankenberg1
    • Daniela Schneider1
    • Junhao Qiu1
    • Martin Čech1
    • Nate Coraor1
    • Show N_FILTERS more
    • Resource type
    • e-learning6
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets5
    • Associated Workflows4
    • 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: Probability

and Tools: Galaxy

and Competency level: Intermediate

6 materials found
  • e-learning

    Gleam Multimodal Learner - Head and Neck cancer Recurrence Prediction with HANCOCK

    •• Intermediate
    Statistics and probability GLEAM HANCOCK Dataset Multimodal Learning Recurrence Prediction Statistics and machine learning
  • e-learning

    GLEAM Image Learner - Validating Skin Lesion Classification on HAM10000

    •• Intermediate
    Statistics and probability Deep Learning HAM10000 Dataset Image Classification Image Learner Skin Lesion Classification Statistics and machine learning
  • e-learning

    Galaxy Tabular Learner - Building a Model using Chowell clinical data

    •• Intermediate
    Statistics and probability LORIS Score Model Machine Learning Statistics and machine learning Tabular Learner
  • e-learning

    Text-Mining Differences in Chinese Newspaper Articles

    •• Intermediate
    Statistics and probability Digital Humanities text mining
  • e-learning

    Supervised Learning with Hyperdimensional Computing

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

    Introduction to Machine Learning using R

    •• Intermediate
    Statistics and probability Statistics and machine learning interactive-tools
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.