Training materials
Difficulty level: Intermediate or Not specified
and Contributors: Dr. Nils Gehlenborg or Eija Korpelainen @eija, ekorpelainen@gmail.com or Kaivan Kamali or Pavankumar Videm
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hands-on tutorial
Hands-on for 'Pre-processing of 10X Single-Cell ATAC-seq Datasets' tutorial
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hands-on tutorial
Hands-on for 'RNA-RNA interactome data analysis' tutorial
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hands-on tutorial
Hands-on for 'Whole transcriptome analysis of Arabidopsis thaliana' tutorial
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hands-on tutorial
Hands-on for 'Analysis of plant scRNA-Seq Data with Scanpy' tutorial
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hands-on tutorial
Hands-on for 'Small Non-coding RNA Clustering using BlockClust' tutorial
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hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
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slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 3) - Convolutional neural networks (CNN)' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 1) - Feedforward neural networks (FNN)' tutorial
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