Training materials
Authors: András Aszódi or Bioinformatics, Rockefeller University or Erik Hjerde or Jan Slifka or Kaivan Kamali or Mathieu Bourgey
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RockefellerUniversity/RU_tidyverse_core
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RockefellerUniversity/RU_reproducibleR
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RockefellerUniversity/IGV_course
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RockefellerUniversity/RU_GenomicVariants
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RockefellerUniversity/RU_VisualizingGenomicsData
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RockefellerUniversity/Intro_To_R_1Day
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RockefellerUniversity/Bioconductor_Introduction
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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