Training eSupport System
  • Log In
    • Log in with UmbrellaID
    • Log in with Helmholtz AAI
    • Login
  • About
  • Events
  • Materials
  • Workflows
  • Collections
  • Learning paths
  • Spaces
  • Directory
    • Providers

PaN-Training 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
    • Machine learning
    • Python36
    • Python program36
    • Python script36
    • py36
    • FAIR data22
    • Findable, accessible, interoperable, reusable data22
    • Data management16
    • Metadata management16
    • Research data management (RDM)16
    • Active learning8
    • Ensembl learning8
    • Kernel methods8
    • Knowledge representation8
    • Neural networks8
    • Recommender system8
    • Reinforcement learning8
    • Supervised learning8
    • Unsupervised learning8
    • Data rendering6
    • Data visualisation6
    • MicroRNA sequencing6
    • RNA sequencing6
    • RNA-Seq6
    • RNA-Seq analysis6
    • Small RNA sequencing6
    • Small RNA-Seq6
    • Small-Seq6
    • Transcriptome profiling6
    • WTSS6
    • Whole transcriptome shotgun sequencing6
    • miRNA-seq6
    • Comparative transcriptomics5
    • Transcriptome5
    • Transcriptomics5
    • R4
    • R program4
    • R script4
    • Chromosome walking3
    • Clone verification3
    • DNA-Seq3
    • DNase-Seq3
    • Exomes3
    • Genome annotation3
    • Genomes3
    • Genomics3
    • High throughput sequencing3
    • High-throughput sequencing3
    • NGS3
    • NGS data analysis3
    • Next gen sequencing3
    • Next generation sequencing3
    • Panels3
    • Personal genomics3
    • Primer walking3
    • Sanger sequencing3
    • Sequencing3
    • Single-cell genomics3
    • Single-cell sequencing3
    • Synthetic genomics3
    • Targeted next-generation sequencing panels3
    • Viral genomics3
    • Whole genomes3
    • Bayesian methods2
    • Biostatistics2
    • Descriptive statistics2
    • Gaussian processes2
    • Inferential statistics2
    • Markov processes2
    • Multivariate statistics2
    • Pipelines2
    • Probabilistic graphical model2
    • Probability2
    • Software integration2
    • Statistics2
    • Statistics and probability2
    • Tool integration2
    • Tool interoperability2
    • Workflows2
    • Antimicrobial stewardship1
    • Bioimaging1
    • Bioinformatics1
    • Biological imaging1
    • Bottom-up proteomics1
    • Discovery proteomics1
    • Enrichment1
    • Enrichment analysis1
    • Functional enrichment1
    • Genes1
    • Genetics1
    • Genotype1
    • Genotype and phenotype1
    • Genotype and phenotype resources1
    • Genotype-phenotype1
    • Genotype-phenotype analysis1
    • Genotyping1
    • Heredity1
    • Image analysis1
    • Integrative omics1
    • MS-based targeted proteomics1
    • Show N_FILTERS more
    • Content provider
    • Elixir TeSS8
    • Show N_FILTERS more
    • Keyword
    • Machine learning7
    • Python7
    • R4
    • Artificial intelligence2
    • Data science2
    • Data visualization1
    • Genomics1
    • Microbiology1
    • Next generation sequencing1
    • Ontology1
    • Reproducibility1
    • Snakemake1
    • Statistics1
    • Workflows1
    • Show N_FILTERS more
    • Difficulty level
    • Not specified
    • Show N_FILTERS more
    • Licence
    • License Not Specified
    • Creative Commons Attribution 4.0 International4
    • Creative Commons Attribution Share Alike 4.0 International3
    • Apache License 2.02
    • MIT License1
    • Show N_FILTERS more
    • Author
    • @posit-dev1
    • BiotrAIn1
    • Emil Hvitfeldt1
    • Jose A Dianes1
    • NIAID BCBB1
    • Navid Nobani1
    • R. Burke Squires1
    • University of Milan-Bicocca1
    • bioinformatics.ca1
    • http://mosaic-tx.com1
    • udlbook1
    • Show N_FILTERS more
    • Contributor
    • @posit-dev1
    • BiotrAIn1
    • Emil Hvitfeldt1
    • Jose A Dianes1
    • NIAID BCBB1
    • Navid Nobani1
    • R. Burke Squires1
    • University of Milan-Bicocca1
    • bioinformatics.ca1
    • http://mosaic-tx.com1
    • udlbook1
    • Show N_FILTERS more
    • Resource type
    • Recorded webinar1
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • 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

Licence: License Not Specified

and Scientific topics: Machine learning

and Difficulty level: Not specified

8 materials found
  • EmilHvitfeldt/feature-engineering-az

    Machine learning Statistics and probability Data science Python R Statistics
  • biotrain-latam/BiotrAIn-pilot-course

    Genomics Microbiology Sequencing Machine learning Artificial intelligence Next generation sequencing Ontology Python R
  • burkesquires/python_biologist

    Workflows Data visualisation Machine learning Data visualization Python Reproducibility Snakemake
  • Naviden/ML-intro-with-Python

    Machine learning Python
  • bioinformaticsdotca/MLE_2023

    Machine learning Python R
  • jadianes/data-science-your-way

    Machine learning Data science Python R
  • udlbook/udlbook

    Machine learning Artificial intelligence Python
  • Recorded webinar

    I made my code open - now what? Steps to a thriving open software project

    Software management FAIR data Open science Machine learning
Training eSupport System
pan-training@hzdr.de
Imprint
Contribute
About PaN-Training
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation

The training portal for the photon & neutron community is supported through the European Union's Horizon 2020 research and innovation programme, under grant agreement 857641, 823852, the Horizon Europe Framework under grant agreement 101129751, and the consortium DAPHNE4NFDI in the context of the work of the NFDI e.V. under the DFG - project number 460248799.