Darwin Cellplm

Pre-trained language model encoding single cells as sequence tokens for transcriptomic analysis. Steps: Step 1: Count Normalization & Feature Selection; Step 2: Single-Cell Embedding Inference; Step 3: Clustering, Annotation & Export. Verticals: single_cell, transcriptomics.

Use in DarwinOmics

How to use it

Use this workflow element when the submitted analysis needs a multi-step execution path, imported workflow, Darwinomics wrapper, or workflow-scale comparison rather than a single module.