Xiaoni's Blog
  • Home
  • Archives
  • Categories
  • Tags
  • About Me
  • docs
    • Machine Learning: TensorFlow2 Notebook
    • Bioinformatics analysis of prognostic value of PITX1 gene in breast cancer
    • Book: R in Action
    • Comprehensive Bioinformatics Analysis of Tumor-Infiltrating Immune Cells
    • Deep diversification of an AAV capsid protein by machine learning
    • FireBrowse Notebook
    • GDC Notebook
    • Git - Common commands
    • GSCALite: Gene Set Cancer Analysis
    • Identification of Therapeutic Targets and Prognostic Biomarkers Among CXC Chemokines in the Renal Cell Carcinoma Microenvironment
    • Installing Conda in Google Colab
    • OncoLnc: A straightforward Tool
    • Python Spider
    • RNA-seq Bioinformatics - RNA sequence analysis
    • scRNA-sequencing analysis - PCA and KNN
    • Survival Analysis with data from GSE database
    • The way to use R in Google Colab
    • TissGDB: tissue-specific gene database in cancer
    • UCSC Topics
    • web front end
Xiaoni's Blog
  • Home
  • Archives
  • Categories
  • Tags
  • About Me
  • docs
    • Machine Learning: TensorFlow2 Notebook
    • Bioinformatics analysis of prognostic value of PITX1 gene in breast cancer
    • Book: R in Action
    • Comprehensive Bioinformatics Analysis of Tumor-Infiltrating Immune Cells
    • Deep diversification of an AAV capsid protein by machine learning
    • FireBrowse Notebook
    • GDC Notebook
    • Git - Common commands
    • GSCALite: Gene Set Cancer Analysis
    • Identification of Therapeutic Targets and Prognostic Biomarkers Among CXC Chemokines in the Renal Cell Carcinoma Microenvironment
    • Installing Conda in Google Colab
    • OncoLnc: A straightforward Tool
    • Python Spider
    • RNA-seq Bioinformatics - RNA sequence analysis
    • scRNA-sequencing analysis - PCA and KNN
    • Survival Analysis with data from GSE database
    • The way to use R in Google Colab
    • TissGDB: tissue-specific gene database in cancer
    • UCSC Topics
    • web front end

2020

2020-10-30 Chapter 9. Analysis of variance
2020-10-29 Chapter 8. Regression
2020-10-25 Chapter 7. Basic statistics
2020-10-24 Chapter 6. Basic graphs
2020-10-23 Chapter 5. Advanced data management
2020-10-22 Chapter 4. Basic data management
2020-10-21 Chapter 3. Getting started with graphs
2020-10-20 Chapter 2. Creating a dataset
2020-10-19 Chapter 1. Introduction To R
2020-10-15 R Notebook : Application Exercises
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
© 2020 - 2023 xiaonilee