Codes for Machine-Learning

Linear regression
  • Basic linear_regression algorithms
  • Linear regression with Regularization
    • Basic classification
  • Basic classification algorithms
  • Logistic regression
    • Clustering
  • Clustering methods
    • SVM and SVR
  • SVM and SVR
    • Decision tree and Random Forest
  • Decision tree and Random Forest
    • PCA/FA/ICA
  • ICA/PCA/EFA
    • HMM
  • HMM
    • Boosting
  • GBDT & XGboost
    • Deep Learning
  • Train a network from beginning 1
  • Train a network from beginning 2
  • Use a pre-trained network

    • Pipelines for Biological data analysis

    RNAseq analysis
  • Rsubread, DEseq2
  • Hisat2, Limma
    • Single cell RNAseq analysis
  • Seurat
  • Scanpy
    • Spatial transcriptome analysis
  • Spatial transcriptome
    • DNA methylation analysis
  • Infinium 450k/850k array
  • BS-seq
    • Metagenome data analysis
  • QIIME2

    • Jupyter Notebook

    Jupyter Notebook是基于网页的用于交互计算的应用程序，可应用于程序的开发、文档编写、运行代码和展示结果。
  • Jupyter和R核的安装
  • Jupyter使用手册

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