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
    • Statistics and probability
    • Data management66
    • Metadata management66
    • Research data management (RDM)66
    • Algorithms65
    • Computer programming65
    • Data structures65
    • Programming languages65
    • Software development65
    • Software engineering65
    • FAIR data39
    • Findable, accessible, interoperable, reusable data39
    • Exomes36
    • Genome annotation36
    • Genomes36
    • Genomics36
    • Personal genomics36
    • Synthetic genomics36
    • Viral genomics36
    • Whole genomes36
    • Biological sequences33
    • Sequence analysis33
    • Sequence databases33
    • Bayesian methods28
    • Biostatistics28
    • Descriptive statistics28
    • Gaussian processes28
    • Inferential statistics28
    • Markov processes28
    • Multivariate statistics28
    • Probabilistic graphical model28
    • Probability28
    • Statistics28
    • Bottom-up proteomics27
    • Computational ecology27
    • Discovery proteomics27
    • Ecoinformatics27
    • Ecological informatics27
    • Ecology27
    • Ecosystem science27
    • MS-based targeted proteomics27
    • MS-based untargeted proteomics27
    • Metaproteomics27
    • Peptide identification27
    • Protein and peptide identification27
    • Proteomics27
    • Quantitative proteomics27
    • Targeted proteomics27
    • Top-down proteomics27
    • Comparative transcriptomics25
    • Transcriptome25
    • Transcriptomics25
    • Community analysis21
    • Environmental microbiology21
    • Microbial ecology21
    • Microbiome21
    • Molecular community analysis21
    • Antimicrobial stewardship20
    • Medical microbiology20
    • Metagenomics20
    • Microbial genetics20
    • Microbial physiology20
    • Microbial surveillance20
    • Microbiological surveillance20
    • Microbiology20
    • Molecular infection biology20
    • Molecular microbiology20
    • Shotgun metagenomics20
    • Assembly19
    • Sequence assembly19
    • Diffraction experiment15
    • Imaging15
    • Microscopy15
    • Microscopy imaging15
    • Optical super resolution microscopy15
    • Photonic force microscopy15
    • Photonic microscopy15
    • Epigenomics13
    • Taxonomy13
    • DNA variation12
    • Genetic variation12
    • Genomic variation12
    • Mutation12
    • Polymorphism12
    • Somatic mutations12
    • Applied ontology10
    • Ontologies10
    • Ontology10
    • Ontology and terminology10
    • Ontology relations10
    • Terminology10
    • Upper ontology10
    • Cloud computing9
    • Computer science9
    • Exometabolomics9
    • HPC9
    • High performance computing9
    • High-performance computing9
    • LC-MS-based metabolomics9
    • MS-based metabolomics9
    • Show N_FILTERS more
    • Tool
    • Galaxy21
    • scikit-learn15
    • GEMINI1
    • IWTomics1
    • PubMed1
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training24
    • ELIXIR Brazil2
    • Bioinformatics and Biomathematics Training Hub1
    • ELIXIR-SI eLearning Platform (EeLP)1
    • Show N_FILTERS more
    • Keyword
    • Statistics and machine learning23
    • interactive-tools3
    • deep-learning2
    • jupyter-lab2
    • machine-learning2
    • statistics2
    • Babraham Institute1
    • Digital Humanities1
    • EeLP1
    • Machine learning1
    • Pan-cancer1
    • ai-ml1
    • biostatistics1
    • cancer biomarkers1
    • dephosphorylation-site-prediction1
    • eLearning1
    • elixir1
    • fine-tuning1
    • image-segmentation1
    • machine learning1
    • oncogenes and tumor suppressor genes1
    • protein-3D-structure1
    • text mining1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner
    • Intermediate14
    • Not specified5
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International24
    • Creative Commons Attribution Share Alike 4.0 International2
    • Creative Commons Attribution Non Commercial No Derivatives 4.0 International1
    • Other (Non-Commercial)1
    • Show N_FILTERS more
    • Target audience
    • Students24
    • biologists2
    • Life Science Researchers1
    • Trainers1
    • Training Designers1
    • Training instructors1
    • statisticians1
    • Show N_FILTERS more
    • Author
    • Anup Kumar11
    • Kaivan Kamali7
    • Alireza Khanteymoori4
    • Daniel Blankenberg2
    • Janick Mathys2
    • Simon Bray2
    • Anne Segonds-Pichon1
    • Bérénice Batut1
    • Daniela Schneider1
    • Dennis Lal group1
    • Ekaterina Polkh1
    • Fabio Cumbo1
    • Fotis Psomopoulos1
    • Jeremy Goecks1
    • Junhao Qiu1
    • Marie Gramm1
    • Marzia A Cremona1
    • Paulo Cilas Morais Lyra Junior1
    • Vijay1
    • Wandrille Duchemin1
    • Show N_FILTERS more
    • Contributor
    • Saskia Hiltemann21
    • Björn Grüning16
    • Helena Rasche15
    • Martin Čech14
    • Anup Kumar12
    • Armin Dadras11
    • Teresa Müller8
    • Kaivan Kamali7
    • Bérénice Batut6
    • Alireza Khanteymoori5
    • Cristóbal Gallardo2
    • Fabio Cumbo2
    • Gildas Le Corguillé2
    • Michelle Terese Savage2
    • Simon Bray2
    • qiagu2
    • Bert Droesbeke1
    • Daniel Sobral1
    • Daniela Schneider1
    • Enis Afgan1
    • Mélanie Petera1
    • Nate Coraor1
    • Niall Beard1
    • Nicola Soranzo1
    • Vijay1
    • dlal-group1
    • Show N_FILTERS more
    • Resource type
    • e-learning19
    • slides7
    • Training materials1
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets23
    • Associated Workflows21
    • Jupyter Notebook (with Solutions)1
    • Jupyter Notebook (without Solutions)1
    • Show N_FILTERS more
    • Node
    • Greece1
    • Slovenia1
    • United Kingdom1
    • 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: Statistics and probability

and Difficulty level: Beginner

28 materials found
  • e-learning

    Clustering in Machine Learning

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

    Age prediction using machine learning

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

    Regression in Machine Learning

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

    Interval-Wise Testing for omics data

    • beginner
    Statistics and probability Statistics and machine learning
  • 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
  • slides

    Recurrent neural networks (RNN) Deep Learning - Part 2

    • 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
  • e-learning

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

    • beginner
    Statistics and probability Statistics and machine learning
  • 1
  • 2
  • 3
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.