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
    • Bayesian methods8
    • Biostatistics8
    • Descriptive statistics8
    • Gaussian processes8
    • Inferential statistics8
    • Markov processes8
    • Multivariate statistics8
    • Probabilistic graphical model8
    • Probability8
    • Statistics8
    • Biological sequences7
    • Sequence analysis7
    • Sequence databases7
    • Assembly6
    • Exomes6
    • Genome annotation6
    • Genomes6
    • Genomics6
    • Personal genomics6
    • Sequence assembly6
    • Synthetic genomics6
    • Viral genomics6
    • Whole genomes6
    • Community analysis5
    • Environmental microbiology5
    • Microbial ecology5
    • Microbiome5
    • Molecular community analysis5
    • Metagenomics4
    • Shotgun metagenomics4
    • Antimicrobial stewardship3
    • De novo genome sequencing3
    • Genome sequencing3
    • Medical microbiology3
    • Microbial genetics3
    • Microbial physiology3
    • Microbial surveillance3
    • Microbiological surveillance3
    • Microbiology3
    • Molecular infection biology3
    • Molecular microbiology3
    • WGS3
    • Whole genome resequencing3
    • Whole genome sequencing3
    • Algorithms2
    • Biodiversity2
    • Computer programming2
    • DNA variation2
    • Data structures2
    • Genetic variation2
    • Genomic variation2
    • Mutation2
    • Polymorphism2
    • Programming languages2
    • Software development2
    • Software engineering2
    • Somatic mutations2
    • Taxonomy2
    • 3C technologies1
    • 3C-based methods1
    • Chromatin accessibility1
    • Chromatin accessibility assay1
    • Chromosome conformation analysis1
    • Chromosome conformation capture1
    • Comparative transcriptomics1
    • Epidemiology1
    • Functional genomics1
    • Gene and protein families1
    • Gene families1
    • Gene family1
    • Gene system1
    • Genes, gene family or system1
    • Genetic linkage1
    • Linkage1
    • Linkage mapping1
    • Mapping1
    • Mitochondria1
    • Mobile genetic elements1
    • Protein families1
    • Protein sequence classification1
    • Public health1
    • Public health and epidemiology1
    • Synteny1
    • Transcriptome1
    • Transcriptomics1
    • Transposons1
    • Show N_FILTERS more
    • Tool
    • Galaxy8
    • scikit-learn5
    • Show N_FILTERS more
    • Content provider
    • Galaxy Training8
    • Show N_FILTERS more
    • Keyword
    • Statistics and machine learning7
    • Digital Humanities1
    • deep-learning1
    • dephosphorylation-site-prediction1
    • fine-tuning1
    • interactive-tools1
    • jupyter-lab1
    • machine-learning1
    • text mining1
    • Show N_FILTERS more
    • Difficulty level
    • Beginner8
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International8
    • Show N_FILTERS more
    • Target audience
    • Students8
    • Show N_FILTERS more
    • Author
    • Anup Kumar6
    • Alireza Khanteymoori2
    • Simon Bray2
    • Daniela Schneider1
    • Kaivan Kamali1
    • Show N_FILTERS more
    • Contributor
    • Teresa Müller
    • Saskia Hiltemann27
    • Björn Grüning23
    • Anup Kumar20
    • Helena Rasche17
    • Bérénice Batut16
    • Martin Čech15
    • Armin Dadras11
    • 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-learning6
    • slides2
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets8
    • Associated Workflows6
    • Show N_FILTERS more
  • Hide 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 Contributors: Teresa Müller

and Include disabled: true

8 materials found
  • slides

    Fine-tuning Protein Language Model

    • beginner
    Statistics and probability Statistics and machine learning
  • slides

    Introduction to Machine learning

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

    Text-Mining Differences in Chinese Newspaper Articles

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

    Fine tune large protein model (ProtTrans) using HuggingFace

    • beginner
    Statistics and probability Statistics and machine learning deep-learning dephosphorylation-site-prediction fine-tuning interactive-tools jupyter-lab machine-learning
  • e-learning

    Regression in Machine Learning

    • 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
  • e-learning

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

    • beginner
    Statistics and probability Statistics and machine learning
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.