92 lines (64 with data), 1.9 kB

---
title: "B-NHL colours"
output:
  html_document: default
  pdf_document: default
---

```{r setup, include=FALSE,echo=FALSE}
knitr::opts_chunk$set(echo = TRUE)
library(kableExtra)
library(tidyverse)
#devtools::install_github("morinlab/ggsci")
library(ggsci)
library(gridExtra)
library(conflicted)
conflict_prefer("filter", "dplyr")
```

```{r,echo=FALSE,message=F}
full_codes = read_tsv("colour_codes.tsv") %>% dplyr::filter(is.na(is_alias)) %>% select(-is_alias)
```


```{r cars,echo=FALSE,message=FALSE}
show_col = function(col_df){
  

  col_df = col_df %>% rename("Name"="name","Code"="colour") %>% 
    dplyr::relocate(Name,Code)

  col_df %>% 
  kbl() %>%
  kable_styling(full_width = T) %>%
  
  column_spec(1, color = "white",
              background = col_df$Code) %>% 
    column_spec(2, color = "white",
              background = col_df$Code)
}

```

## Hex codes for B-cell lymphomas

```{r full_image1, echo=FALSE, message=FALSE}
dplyr::filter(full_codes,group=="pathology") %>% show_col()

```



### Cell of Origin / Gene Expression Subgroups

```{r coo, echo=FALSE}

dplyr::filter(full_codes,group=="coo") %>% show_col()
```

### LymphGen classes with Composite classes


```{r full_image2, echo=FALSE, message=FALSE}
dplyr::filter(full_codes,group=="LymphGen") %>% show_col()

```

### HMRN classes
```{r hmrn, echo=FALSE }
dplyr::filter(full_codes,group=="hmrn") %>% show_col()
```

### Clinical variables
```{r clinical, echo=FALSE }
dplyr::filter(full_codes,group=="clinical") %>% show_col()
```


### BL and DLBCL Genetic subgroups from the Morin lab
```{r bl,echo=FALSE}
dplyr::filter(full_codes,group %in% c("BL-genetic","DLBCL-genetic")) %>% show_col()
```
### ASH family journals
```{r blood, echo=FALSE }
dplyr::filter(full_codes,group=="blood") %>% show_col()
```

### The entire palette

```{r,echo=F}
full_codes %>% show_col()

```