生信笔记

09-06

Sample size in IVD

08-27

Analysis of Reference Value

08-27

Fitting a Line to Scatter Plots(Regression Analysis)

07-05

R语言-sva包处理批次效应

07-04

多项式回归（Polynomial regression）及线性检验

06-25

Github多人协作-代码提交与冲突解决

06-25

合并RTF文件

06-22

Using huxtables in rmarkdown to export RTF

06-21

SIR models in R

06-19

识别离群点-ESD(Generalized ESD)

06-14

Measures of risk

05-26

诊断试验评价指标

05-24

R-交互式表格展示Covid-19数据

05-19

Proportions Test in R

05-18

Flourish可视化Covid-19

05-13

COVID-19可视化-Plotly

05-12

Matrix Heatmap in co-mutation and exclusion analysis

05-11

Co-mutation and exclusion analysis in R

04-21

Create and format Word documents using R

04-15

Confusion Matrix in R

04-13

R语言-dplyr tricks

04-11

Awesome Open Source -- Shiny

03-30

Shiny Modules Reference Resoures

03-29

Rmarkdown以及Rstudio安装配置debug

03-26

使用golem包开发Shinyapp

03-25

Shiny package - shinyWidgets

02-27

Shiny reference resoures

02-17

Calculate odds ratio(OR) in R

02-10

Fit skewed normal distribution to data in R

02-05

Feedback in Shiny

02-05

A cookbook for Mastering Shiny

01-22

配置Spotfire-Statistics-Services

01-22

Use R in Spotfire

01-15

Spotfire ironpython示例小结

01-05

Scikit-learn Feature Extraction from Text

12-30

Prognostic and predictive

12-28

Scikit-learn Imputation of missing values

12-22

Scikit-learn Pipeline and ColumnTransformer

12-15

Scikit-learn Cross-validation

12-09

Categorical Feature Encoding

12-08

Jupyter notebook远程访问设置

12-07

Scikit-learn Grid Search

12-07

ubuntu18 配置Mysql

11-25

Scikit-learn Preprocessing data

11-24

Scikit-learn Feature selection

11-12

文献阅读-Identification of trunk mutations in gastric carcinoma

11-11

Wordpress迁移到hexo（ECS）

11-11

Nginx的安装配置

11-10

Ubuntu 安装Caddy反向代理

10-04

Python-Pandas数据结构操作