βWhat language should I learn for Bioinformatics? R or Python?
π Watch the clip
π²Channel: @Bioinformatics
#video #r #python
π Watch the clip
π²Channel: @Bioinformatics
#video #r #python
YouTube
R versus Python for bioinformatics
Which programming language should you learn if you want to start doing bioinformatics? I do a basic comparison between R and python in this video.
Both the R programming language and Python are very valuable tools for bioinformatics and data analysis butβ¦
Both the R programming language and Python are very valuable tools for bioinformatics and data analysis butβ¦
β€10π6π₯2
πSurvival Analysis on Cancer Genome Atlas in R
πΉ Watch
π²Channel: @Bioinformatics
#video #cancer #r
πΉ Watch
π²Channel: @Bioinformatics
#video #cancer #r
YouTube
Survival Analysis on Cancer data | RStudio Tutorial
Hello everyone, it's me Lindsey again. The real brain behind the scene :). Its been a while since I was last here.
Survival Analysis is a type of statistical analysis method that predicts the data on time to an event leading to death. It can be from diseasesβ¦
Survival Analysis is a type of statistical analysis method that predicts the data on time to an event leading to death. It can be from diseasesβ¦
π10
πTen simple rules for teaching yourself R
π₯Teaching yourself new skills can be hard. It can be a process rife with frustration, self-doubt, and low motivation to continue. The 10 rules we list here are our best strategies to overcome these challenges, master new techniques, and maybe even have some fun along the way! We hope that these rules will help new R users, be they graduate students, hobbyists, or established researchers eager to learn a new tool.
πJournal: PLOS Computational Biology (I.F.=4.779)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#r
π₯Teaching yourself new skills can be hard. It can be a process rife with frustration, self-doubt, and low motivation to continue. The 10 rules we list here are our best strategies to overcome these challenges, master new techniques, and maybe even have some fun along the way! We hope that these rules will help new R users, be they graduate students, hobbyists, or established researchers eager to learn a new tool.
πJournal: PLOS Computational Biology (I.F.=4.779)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#r
π7β€3
π¨βπ«A machine learning workshop with R
π₯TCGA Biomarkers Identification using Machine Learningπ₯
π Watch
βοΈ Slides
π¨βπ»Code
π²Channel: @Bioinformatics
#video #machine_learning #biomarker #r
π₯TCGA Biomarkers Identification using Machine Learningπ₯
π Watch
βοΈ Slides
π¨βπ»Code
π²Channel: @Bioinformatics
#video #machine_learning #biomarker #r
YouTube
TCGA Biomarkers Identification using Machine Learning | Complete Walkthrough
Well, mostly doing this since people have been asking to connect the database with some basic machine learning script , so I might as well capitalized on this. Anyhow, I mostly wrote this with the mindset on education and not really on research so the codeβ¦
π12β€1π1π―1
Forwarded from Network Analysis Resources & Updates
πBasic and Advanced Network Visualization with R
π₯Technical paper
π PDF
π» Code
ποΈ data
π²Channel: @ComplexNetworkAnalysis
#tools #R #code
π₯Technical paper
π PDF
π» Code
ποΈ data
π²Channel: @ComplexNetworkAnalysis
#tools #R #code
π7β€4π1
π₯ R or Python, Which Should I Learn as a Bioinformatician?
π₯ Recorded webinar from NIH
π Watch
π²Channel: @Bioinformatics
#video #r #python
π₯ Recorded webinar from NIH
π Watch
π²Channel: @Bioinformatics
#video #r #python
π9π1
π½ Data Wrangling with R
π₯ Bioinformatics Training and Education Program from NIH, 2022
π¦ Course Materials
β«οΈLesson 1: Introduction to R, RStudio
β«οΈLesson 2: Getting started with R
β«οΈLesson 3: Importing and reshaping data
β«οΈLesson 4: Data Visualization with ggplot2
β«οΈLesson 5: Introducing dplyr and the pipe
β«οΈLesson 6: Continue data wrangling with dplyr
β«οΈLesson 7: Important concepts review
π²Channel: @Bioinformatics
#video #course #r
π₯ Bioinformatics Training and Education Program from NIH, 2022
π¦ Course Materials
β«οΈLesson 1: Introduction to R, RStudio
β«οΈLesson 2: Getting started with R
β«οΈLesson 3: Importing and reshaping data
β«οΈLesson 4: Data Visualization with ggplot2
β«οΈLesson 5: Introducing dplyr and the pipe
β«οΈLesson 6: Continue data wrangling with dplyr
β«οΈLesson 7: Important concepts review
π²Channel: @Bioinformatics
#video #course #r
π16β€11
πBioinformatics with R & Linux
π₯Full course with 25 session from Michael W. Vandewege (North Carolina State University)
πΉ Watch
π²Channel: @Bioinformatics
#video #course #r
π₯Full course with 25 session from Michael W. Vandewege (North Carolina State University)
πΉ Watch
π²Channel: @Bioinformatics
#video #course #r
π24π5β€3π₯3π3π2
π Translational Bioinformatics with R
π₯Free Online E-Book
From Preface: ...I am a data scientist working in the Pharma/Biotech industry, where my work is mainly related to biomarkers such as exploratory biomarkers analysis, subgroup identification, predictive and prognostic biomarker identification etc. I have a dual educational background in Biology and Computer Science, and have been applying statistics and machine learning in my daily work. The purpose of my wirting of this book is to showcase how to leverage advanced statistics and machine learning as well as causal inference in translational bioinformatics. This is an evolving field inviting innovations and ideas, and I would like to write this book to introduce this field to the general public, to inspire newcomers, to invite peers for critiques and suggestions and just to get the converation on translational bioinformatics started.
πPublish year: 2022
π Study (Web version)
π²Channel: @Bioinformatics
#book #r #translational
π₯Free Online E-Book
From Preface: ...I am a data scientist working in the Pharma/Biotech industry, where my work is mainly related to biomarkers such as exploratory biomarkers analysis, subgroup identification, predictive and prognostic biomarker identification etc. I have a dual educational background in Biology and Computer Science, and have been applying statistics and machine learning in my daily work. The purpose of my wirting of this book is to showcase how to leverage advanced statistics and machine learning as well as causal inference in translational bioinformatics. This is an evolving field inviting innovations and ideas, and I would like to write this book to introduce this field to the general public, to inspire newcomers, to invite peers for critiques and suggestions and just to get the converation on translational bioinformatics started.
πPublish year: 2022
π Study (Web version)
π²Channel: @Bioinformatics
#book #r #translational
π17β€5
π¨βπ« Workshop in Applied Bioinformatics using R and Python
π₯This online book aims to illustrate how you can implement bioinformatic code to perform data manipulation, exploration, mining, statistics and graphics
π Date: 2023-03-15
π Open the GitBook
π²Channel: @Bioinformatics
#workshop #course #r #python
π₯This online book aims to illustrate how you can implement bioinformatic code to perform data manipulation, exploration, mining, statistics and graphics
π Date: 2023-03-15
π Open the GitBook
π²Channel: @Bioinformatics
#workshop #course #r #python
π7π₯2β€1π1π1π1π―1