In itamuria/immunoeasy: Make Immuno Therapies An Easier Process

knitr::opts_chunk$set(echo = TRUE)

Saiatu naiz baina ez dut hainbeste kontrolik eta lan handia da. Shiny kontrolpean edukita askoz hobeto da.

Python

Python-eko gauzak ere hemen elkarrekin jarri nahi ditut.

Adibide pila shiny moduko gauzak egiteko https://bost.ocks.org/mike/

https://pandas.pydata.org/pandas-docs/stable/ecosystem.html

print("Froga)

Aukerak: https://docs.bokeh.org/en/latest/

Deep learning

https://www.deeplearningbook.org/ Pausos pauso https://www.youtube.com/watch?v=psDlXfbe6ok https://www.youtube.com/watch?v=psDlXfbe6ok&list=RDCMUCe6ABcJkH_Gso9HJOt4x9fg&start_radio=1

Fastakin lan egiteko

https://bioinf.shenwei.me/seqkit/

adibide ederra biopythonekin

https://www.biostars.org/p/230180/

bioinfo adibideak (ikastaroa)

https://github.com/raynamharris/Shell_Intro_for_Bioinformatics_STG/blob/master/lessons/06_ForLoops.md

Earra

https://bioinformaticsworkbook.org/list.html#gsc.tab=0

Funtzioen adibideak

https://tldr.ostera.io/grep

Para ver ficheros html

http://htmlpreview.github.io/? + html

R-n taulak egiteko

https://cran.r-project.org/web/packages/qwraps2/vignettes/summary-statistics.html https://cran.r-project.org/web/packages/vtable/vignettes/sumtable.html # erreza baina ezin da exportatu http://www.danieldsjoberg.com/gtsummary/ ### ** IMPRESIONANTE https://dabblingwithdata.wordpress.com/2018/01/02/my-favourite-r-package-for-summarising-data/ https://cran.r-project.org/web/packages/summarytools/vignettes/Introduction.html