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DTSTAMP:20260808T212646Z
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DTSTART:20250201T080000Z
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DESCRIPTION:Educators:\nAltuna Alkalin\, Bora Uyar\, Artür Manukyan (RBC/d
 eNBI-epi Scientists from Berlin)\n\nDate:\nFebruar - March 2025\n\nLocatio
 n:\nOnline\n\nContents:\nThe general aim of the course is to equip partici
 pants with practical and technical knowledge to deploy machine learning me
 thods on genomic data sets. With this aim in mind\, we will go through cer
 tain statistical concepts and move on to unsupervised and supervised machi
 ne learning methods to analyze high-dimensional data sets.\nThere will be 
 theoretical lectures followed by practical sessions where students directl
 y apply what they have learned. These sessions will be provided online in 
 succession. Participants will have a week to work on each module in their 
 own time. Interactions will be provided over the online teaching platform.
  The programming will be mainly done in R and Python. For module 1\, no ex
 tensive coding experience will be required. Participants can apply to any 
 module\, it is not necessary to apply for all the modules. When accepted\,
  students can participate in the modules of their choice.\n\nModule 1: AI-
 assisted data analysis (1 week) \nModule 2: Spatial omics data analysis (1
  week)\nModule 3: Multi-omics data integration (1 week)\nLearning goals:\n
 The course will be beneficial for first year computational biology PhD stu
 dents\, and experimental biologists and medical scientists who want to beg
 in data analysis or are seeking a better understanding of computational ge
 nomics and analysis of popular sequencing methods.r\n\nPrerequisites:\nSom
 e statistics and R programming experience will be good to keep up with the
  course. Practicals will be done in R.\nKeywords:\nComputational genomics\
 , RNA-seq\, Machine learing\,\n\nTools:\nR/Bioconductor\n\nApplication Dea
 dline: 30th of January\n\nMore information and application under: https://
 bioinformatics.mdc-berlin.de/compgen/2025/
SUMMARY:Computational genomics course for hands-on data analysis 2025 - Mac
 hine Learning for Genomics
URL;VALUE=URI:https://www.denbi.de/training-courses-2025/1846-computational
 -genomics-course-for-hands-on-data-analysis-2025
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