生信笔记

01-31

Header and comment template in R script

01-18

SAS-IML配置

01-18

R语言-中英文编码

01-14

临床试验非劣效性评估

12-29

Bootstrap Confidence Interval

12-22

诊断试验的一致性检验-Kappa

12-20

SOP（Standard Operating Procedures）和WP（ Working Procedures）

12-20

Save all console output to file in R

11-09

Precison assessment in tumor diagnosis (Immunological method)

11-03

Agreement statistics in diagnostic accuracy

10-31

(Weighted) Deming regression

10-09

Time-dependent ROC 曲线

10-08

Pivoting-data-in-R

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