Training materials
Contributors: John Sundh or Anne-Françoise Adam-Blondon or Kaivan Kamali or Bioinformatics, Rockefeller University
-
RockefellerUniversity/RU_tidyverse_core
-
RockefellerUniversity/RU_reproducibleR
-
RockefellerUniversity/IGV_course
-
RockefellerUniversity/RU_GenomicVariants
-
RockefellerUniversity/RU_VisualizingGenomicsData
-
RockefellerUniversity/Intro_To_R_1Day
-
RockefellerUniversity/Bioconductor_Introduction
-
hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
-
hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
-
slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial
- 1
- 2