Codeplot
leiden
Introduction

cluster cells into subgroups by leident

Script
Input
Task nameAttribute nameTypeDescription
* main project_nameString project name
* main anndataFile Input object format:anndata
* main.leiden use_weightsBoolean If True, edge weights from the graph are used in the computation (placing more emphasis on stronger edges).
* main.leiden resolutionFloat A parameter value controlling the coarseness of the clustering. Higher values lead to more clusters. Set to None if overriding partition_type to one that doesn’t accept a resolution_parameter.
* main.leiden n_iterationsFloat How many iterations of the Leiden clustering algorithm to perform. Positive values above 2 define the total number of iterations to perform, -1 has the algorithm run until it reaches its optimal clustering.
* main.leiden memoryString Number of memory running tasksnotice:1. The value range is 0.25-32 cores, in addition, 48 cores and 64 cores can be selected, and the CPU must be an integer multiple of 0.25 cores; 2. The memory value range is 1GB-512GB, and the memory must be an integer multiple of 1GB. 3. The CPU / memory ratio must be between 1:2 and 1:8
* main.leiden dockerString --
* main.leiden directedBoolean Whether to treat the graph as directed or undirected.
* main.leiden cpuString Number of CPU running tasks.notice:1. The value range is 0.25-32 cores, in addition, 48 cores and 64 cores can be selected, and the CPU must be an integer multiple of 0.25 cores; 2. The memory value range is 1GB-512GB, and the memory must be an integer multiple of 1GB. 3. The CPU / memory ratio must be between 1:2 and 1:8
Output
Task nameAttribute nameTypeDescription
* main clustfileFile Return the output file to the column name of the corresponding table by this.xxx
* main h5adfileFile Return the output file to the column name of the corresponding table by this.xxx