Brings Seurat to the Tidyverse
Extract a character column into multiple columns using regular express...
Keep rows that match a condition
Printing tibbles
Mutating joins
get abundance long
get abundance wide
Mutating joins
Create, modify, and delete columns
Nest rows into a list-column of data frames
Pipe operator
Pivot data from wide to long
Initiate a plotly visualization
Add class to abject
Aggregate cells
(DEPRECATED) Extract and join information for transcripts.
Order rows using column values
Coerce lists, matrices, and more to data frames
Efficiently bind multiple data frames by row and column
Count the observations in each group
Keep distinct/unique rows
Remove class to abject
Create a new ggplot from a tidyseurat
Get a glimpse of your data
Group by one or more variables
Split data frame by groups
Mutating joins
join_features
Extract a single column
Convert array of quosure (e.g. c(col_a, col_b)) into character vector
Rename columns
returns variables from an expression
Mutating joins
Group input by rows
Sample n rows from a table
Keep or drop columns using their names and types
Separate a character column into multiple columns with a regular expre...
Subset rows using their positions
Summarise each group down to one row
Format the header of a tibble
tidy for Seurat objects
Unite multiple columns into one by pasting strings together
Unnest a list-column of data frames into rows and columns
It creates an invisible layer that allow to see the 'Seurat' object as tibble and interact seamlessly with the tidyverse.
Useful links