Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • Spaces
  • Events
  • Materials
  • Workflows
  • Collections
  • e-Learning
  • Learning paths
  • Directory
    • Providers
    • Nodes

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
    • Gaussian processes
    • Exomes47
    • Genome annotation47
    • Genomes47
    • Genomics47
    • Personal genomics47
    • Synthetic genomics47
    • Viral genomics47
    • Whole genomes47
    • Biodiversity40
    • Comparative transcriptomics37
    • Transcriptome37
    • Transcriptomics37
    • Bayesian methods35
    • Biostatistics35
    • Descriptive statistics35
    • Inferential statistics35
    • Markov processes35
    • Multivariate statistics35
    • Probabilistic graphical model35
    • Probability35
    • Statistics35
    • Statistics and probability35
    • Biological sequences33
    • Bottom-up proteomics33
    • Discovery proteomics33
    • MS-based targeted proteomics33
    • MS-based untargeted proteomics33
    • Metaproteomics33
    • Peptide identification33
    • Protein and peptide identification33
    • Proteomics33
    • Quantitative proteomics33
    • Sequence analysis33
    • Sequence databases33
    • Targeted proteomics33
    • Top-down proteomics33
    • Assembly31
    • Sequence assembly31
    • Community analysis29
    • Computational ecology29
    • Ecoinformatics29
    • Ecological informatics29
    • Ecology29
    • Ecosystem science29
    • Environmental microbiology29
    • Microbial ecology29
    • Microbiome29
    • Molecular community analysis29
    • Metagenomics27
    • Shotgun metagenomics27
    • Antimicrobial stewardship22
    • Medical microbiology22
    • Microbial genetics22
    • Microbial physiology22
    • Microbial surveillance22
    • Microbiological surveillance22
    • Microbiology22
    • Molecular infection biology22
    • Molecular microbiology22
    • Diffraction experiment20
    • Imaging20
    • Microscopy20
    • Microscopy imaging20
    • Optical super resolution microscopy20
    • Photonic force microscopy20
    • Photonic microscopy20
    • DNA variation17
    • Genetic variation17
    • Genomic variation17
    • Mutation17
    • Polymorphism17
    • Somatic mutations17
    • Taxonomy14
    • Epigenomics11
    • Exometabolomics10
    • LC-MS-based metabolomics10
    • MS-based metabolomics10
    • MS-based targeted metabolomics10
    • MS-based untargeted metabolomics10
    • Mass spectrometry-based metabolomics10
    • Metabolites10
    • Metabolome10
    • Metabolomics10
    • Metabonomics10
    • NMR-based metabolomics10
    • Computational chemistry7
    • Algorithms6
    • Computer programming6
    • Data structures6
    • De novo genome sequencing6
    • Epidemiology6
    • Genome sequencing6
    • Programming languages6
    • Public health6
    • Public health and epidemiology6
    • Software development6
    • Software engineering6
    • WGS6
    • Whole genome resequencing6
    • Show N_FILTERS more
    • Tool
    • Galaxy
    • scikit-learn16
    • Bioconductor1
    • GEMINI1
    • IWTomics1
    • PubMed1
    • Show N_FILTERS more
    • Content provider
    • GTN35
    • Show N_FILTERS more
    • Keyword
    • Statistics and machine learning34
    • interactive-tools4
    • Deep Learning2
    • Image Learner2
    • deep-learning2
    • jupyter-lab2
    • machine-learning2
    • Digital Humanities1
    • GLEAM1
    • GTEx1
    • Gene Expression1
    • HAM10000 Dataset1
    • HANCOCK Dataset1
    • Image Classification1
    • LORIS Score Model1
    • Machine Learning1
    • Multimodal Learning1
    • Recurrence Prediction1
    • Skin Lesion Classification1
    • Tabular Learner1
    • Tissue Classification1
    • dephosphorylation-site-prediction1
    • fine-tuning1
    • image-segmentation1
    • protein-3D-structure1
    • text mining1
    • Show N_FILTERS more
    • Competency level
    • Beginner28
    • Intermediate7
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International35
    • Show N_FILTERS more
    • Target audience
    • Students35
    • Show N_FILTERS more
    • Author
    • Anup Kumar11
    • Kaivan Kamali8
    • Jeremy Goecks7
    • Junhao Qiu7
    • Paulo Cilas Morais Lyra Junior7
    • Alireza Khanteymoori4
    • Amirhossein Naghsh Nilchi4
    • Björn Grüning4
    • Khai Van Dang4
    • Alyssa Pybus3
    • Fabio Cumbo2
    • Simon Bray2
    • Allissa Dillman1
    • Bérénice Batut1
    • Daniel Blankenberg1
    • Daniela Schneider1
    • Dennis Lal group1
    • Ekaterina Polkh1
    • Fotis E. Psomopoulos1
    • Marie Gramm1
    • Marzia A Cremona1
    • Natalie Kucher1
    • Polina Polunina1
    • Show N_FILTERS more
    • Contributor
    • Saskia Hiltemann26
    • Björn Grüning23
    • Anup Kumar19
    • Helena Rasche18
    • Martin Čech15
    • Armin Dadras11
    • Teresa Müller9
    • Kaivan Kamali8
    • Paulo Cilas Morais Lyra Junior6
    • Alireza Khanteymoori5
    • Fabio Cumbo5
    • Amirhossein Naghsh Nilchi4
    • Bérénice Batut4
    • Cristóbal Gallardo2
    • Delphine Lariviere2
    • Gildas Le Corguillé2
    • Junhao Qiu2
    • Michelle Terese Savage2
    • Nate Coraor2
    • Simon Bray2
    • qiagu2
    • Anthony Bretaudeau1
    • Bert Droesbeke1
    • Daniel Blankenberg1
    • Daniel Sobral1
    • Daniela Schneider1
    • Enis Afgan1
    • Mohammad Joudy1
    • Mélanie Petera1
    • Niall Beard1
    • Nicola Soranzo1
    • Pavankumar Videm1
    • dlal-group1
    • Show N_FILTERS more
    • Resource type
    • e-learning26
    • slides9
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets33
    • Associated Workflows31
    • 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
  • 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: Gaussian processes

and Tools: Galaxy

35 materials found
  • e-learning

    Deep Learning (Part 1) - Feedforward neural networks (FNN)

    • Beginner
    Statistics and probability Statistics and machine learning
  • slides

    Image classification in Galaxy with fruit 360 dataset

    • 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

    Introduction to deep learning

    • Beginner
    Statistics and probability Statistics and machine learning
  • slides

    Feedforward neural networks (FNN) Deep Learning - Part 1

    • Beginner
    Statistics and probability Statistics and machine learning
  • 1
  • 2
  • 3
  • 4
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.